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Evaluation of Flotation Working Condition Recognition Based on An Improved Apriori Algorithm

IFAC-PapersOnLine 2018年第21期51卷 129-134页

作者： Wang, Xiaoli Song, Chen Xiong, Wei Lv, Xingxiao School of Information Science and Engineering Central South University Hunan410083 China Changsha Research Institute of Mining and Metallurgy Co. Ltd Hunan410012 China

Based on machine vision and image processing technology, a large number of methods have been proposed for flotation working condition recognition in froth flotation industry. However, in these condition recognition methods, there lacks internal or external evaluation criteria, so that the reliability of the recognition results obtained by the current recognition models is not high for operators. In order to solve this problem, by taking time series of working condition data as the research object, an improved Apriori algorithm based on time series is proposed for the evaluation of flotation working condition recognition. Based on the idea of transaction database, the time series data set of working condition is divided into working condition transaction database by an auto-regressive model. Then the improved Apriori algorithm is used to find the association rules that contain relations between the time-series of the working condition transaction database to form a rule base for the working condition, which provides the reliability evaluation of the online working condition recognition results based on the association rules. © 2018

关键词： Froth flotation Association rules Database systems image processing Learning algorithms Time series Apriori algorithms Auto regressive models Condition recognition image processing technology Improved apriori algorithms Reliability Evaluation Transaction database Working condition evaluation

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Kiwifruit yield estimation using image processing by an Android mobile phone

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IFAC-PapersOnLine 2018年第17期51卷 185-190页

作者： Fu, Longsheng Liu, Zhihao Majeed, Yaqoob Cui, Yongjie College of Mechanical and Electronic Engineering Northwest A&F University Yangling712100 China Key Laboratory of Agricultural Internet of Things Ministry of Agriculture Yangling712100 China Shaanxi Key Laboratory of Agricultural Information Perception and Intelligent Service Yangling 712100 China Center for Precision&Automated Agricultural Systems Washington State University ProsserWA99350 United States Center for Precision and Automated Agricultural Systems Washington State University Prosser99350 United States

Advanced electronic technology makes mobile phone suitable for image processing technology on fruit yield estimation. A new method was proposed to estimate yield of kiwifruit orchard via image processing using an Android mobile phone. image processing was used to select significant color channels and their threshold for segmentation, generate binarized image, and remove noise. A fruit-counting algorithm was developed to calculate the number of kiwifruit by identifying the number of fruit calyxes. image area was estimated by the pixels proportion of a reference board hung under the canopy. Finally, yield was calculated by multiplying the proportion of the image in three-dimensional space with the number of kiwifruit in an image and the kiwifruit orchard area. Under natural conditions, the performance of the fruit counting algorithm software was validated with 100 kiwifruit images. The proposed method achieved a good precision and recognition ratio of 76.4%. Results showed the pixels area of the reference board could be correctly detected. It is reliable to estimate the yield of kiwifruit orchard by recognizing the number of kiwifruit and the area of the reference board. The results indicated that the approach could be utilized to estimate the fruit yield of a kiwifruit orchards, which is valuable information to forecast yield, and plan harvest schedules. © 2018

关键词： Android (operating system) Cellular telephones Fruits image processing image segmentation Orchards Pixels Electronic technologies Harvest schedule image processing technology Kiwifruits Natural conditions Recognition ratio Three dimensional space Yield estimation

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Estimating rice chlorophyll content and leaf nitrogen concentration with a digital still color camera under natural light

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PLANT METHODS 2014年第1 p304-304期10卷 1-11页

作者： Wang, Yuan Wang, Dejian Shi, Peihua Omasa, Kenji Chinese Acad Sci Inst Soil Sci Nanjing 210008 Jiangsu Peoples R China Nanjing Agr Univ Natl Engn & Technol Ctr Informat Agr Nanjing 210095 Jiangsu Peoples R China Univ Tokyo Grad Sch Agr & Life Sci Bunkyo Ku Tokyo 1138657 Japan

Background: The color of crop leaves is closely correlated with nitrogen (N) status and can be quantified easily with a digital still color camera and image processing software. The establishment of the relationship between image color indices and N status under natural light is important for crop monitoring and N diagnosis in the field. In our study, a digital still color camera was used to take pictures of the canopies of 6 rice (Oryza sativa L.) cultivars with N treatments ranging from 0 to 315 kg N ha(-1) in the field under sunny and overcast conditions in 2010 and 2011, respectively. Results: Significant correlations were observed between SPAD readings, leaf N concentration (LNC) and 13 image color indices calculated from digital camera images using three color models: RGB, widely used additive color model;HSV, a cylindrical-coordinate similar to the human perception of colors;and the L*a*b* system of the International Commission on Illumination. Among these color indices, the index b*, which represents the visual perception of yellow-blue chroma, has the closest linear relationship with SPAD reading and LNC. However, the relationships between LNC and color indices were affected by the developmental phase. Linear regression models were used to predict LNC and SPAD from color indices and phasic development. After that, the models were validated with independent data. Generally, acceptable performance and prediction were found between the color index b*, SPAD reading and LNC with different cultivars and sampling dates under different natural light conditions. Conclusions: Our study showed that digital color image analysis could be a simple method of assessing rice N status under natural light conditions for different cultivars and different developmental stages.

关键词： Digital still color camera Leaf color image processing technology Natural light Nitrogen Rice

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The tip point feature of pakchoi recognition and virtual plant modelling based on image processing

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IFAC-PapersOnLine 2016年第16期49卷 439-444页

作者： bo, Liu chengliang, Liu liang, Gong yuanshen, Zhao qianli, QL.Liu. Chen Department of Mechanical and Electronic Engineering Shanghai Jiao Tong University Shang-hai200240 China

image processing is one of the key technologies in virtual agriculture. In this paper, the image processing technology is combined in pakchoi virtual modeling. By extracting the contour curve, the minimum circumscribed plants and the feature of tip points of the pakchoi, a virtual two-dimensional geometric model of pakchoi was established. This modelling method is simple and the model can reflect the number of leafs, leaf relative size and the growth of plant. This study has important significance in researching the growth model of pakchoi, image feature point recognition and virtual modelling. © 2016

关键词： image processing Feature extraction Geometric modeling image feature points image processing technique image processing technology Key technologies Modelling method Pakchoi Virtual modeling

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Scene-based pedestrian safety performance model in mixed traffic situation

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IET INTELLIGENT TRANSPORT SYSTEMS 2014年第3期8卷 209-218页

作者： Zhang, Yingying Yao, Danya Qiu, Tony Z. Peng, Lihui Tsinghua Univ Dept Automat Beijing 100084 Peoples R China Univ Alberta Dept Civil & Environm Engn Edmonton AB T6G 2W2 Canada

Compared to vehicle-only collisions, traffic collisions with pedestrians are studied less because of insufficient data. However, with the development of image processing technology, a growing number of road user behavioural analyses have been conducted using video data. This study tries to extract road users' movements from video data in order to analyse the conflict between pedestrian and vehicle and to evaluate pedestrian safety performance during conflicts. The time difference to collision (TDTC) parameter is used to fit the safety analysis on pedestrian-involved conflicts. Scene-based analysis, which evaluates the safety performance of traffic intersections and segments where several pedestrian-vehicle conflicts may happen together, is conducted using 91 groups of scene data. The parameters most related to pedestrian safety are located using a sensitivity test, a quantitative definition of pedestrian-vehicle conflict is then defined, and a scene-based pedestrian safety performance evaluation model is built. The model can correctly detect nearly 94.4% of possibly dangerous traffic scenes. Other kinds of mixed traffic scenes can also be studied based on this research.

关键词： image processing road safety traffic engineering computing pedestrians scene-based pedestrian safety performance model mixed traffic situation vehicle-only collisions traffic collisions image processing technology road user behavioural analyses video data road user movements time difference to collision parameter TDTC parameter scene-based analysis traffic intersections traffic segments sensitivity test quantitative definition pedestrianaEuro"vehicle conflict

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Estimating nitrogen status of rice using the image segmentation of G-R thresholding method

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FIELD CROPS RESEARCH 2013年 149卷 33-39页

作者： Wang, Yuan Wang, Dejian Zhang, Gang Wang, Jun Chinese Acad Sci Inst Soil Sci Nanjing 210008 Jiangsu Peoples R China

A camera can record spectral information of visible bands. In this study, a digital camera was used to take pictures of the canopies of 3 rice (Oryza sativa L) cultivars with 6 different nitrogen (N) application rates. Canopy images were segmented by setting threshold values based on the magnitude and distribution of the green channel minus red channel (GMR) value, and then correlations were established between image feature parameters and the 3 plant indices (i.e., above-ground biomass, N content and leaf area index) before and after image segmentation. Results showed significant exponential relationships between the image parameters and the plant indices. Before the segmentation, the GMR values were closely related to the 3 plant indices, with correlation coefficient of 0.93**, 0.93** and 0.94**, respectively;while after the segmentation, the correlation coefficients between canopy cover (CC) and plant indices were 0.90**, 0.91** and 0.95**, respectively. We conclude that GMR and CC will be valid indicators in the application of N diagnosis both for japonica and indica rice. And the canopy image segmentation method is fast in data processing and easily adaptable. (C) 2013 Elsevier B.V. All rights reserved.

关键词： Digital camera Visible spectrum image processing technology Nitrogen nutrition Rice

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Virtual Reality:A State-of-the-Art Survey

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International Journal of Automation and computing 2009年第4期6卷 319-325页

作者： Ning-Ning Zhou Yu-Long Deng School of Computing Nanjing University of Posts and Telecommunications Nanjing 210003 PRC State Key Laboratory of Software Development Environment Beihang University Beijing 100191 PRC

This paper presents a survey on virtual reality systems and provides an in-depth understanding toward the notion of immersion, according to the semantic meanings of the terms ＂virtual＂ and ＂reality＂. The paper analyses the structure and functions of a virtual reality system and takes the three dimensional display as the immersive medium to identify the key issues for construction of virtual environments. The paper also reviews the development of virtual reality technology and introduces new image processing techniques into the design of virtual reality systems and virtual environments.

关键词： Virtual reality immersion virtual reality image processing technology

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Effect mechanism of old asphalt on microstructure and mechanical properties of hot reclaimed pavement materials

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AUSTRALIAN JOURNAL OF CIVIL ENGINEERING 2024年第1期22卷 108-123页

作者： Zhao, Song Zhang, Haitao Feng, Yuping Zhang, Qianhui Gao, Meiyi Hang, Yutong Northeast Forestry Univ Coll Civil Engn Harbin 150040 Heilongjiang Peoples R China Dalian Univ Technol Construct Engn Dept Dalian Liaodong Peoples R China

Asphalt mixture recycled technology (Al-Saffar et al. 2021) is an efficient method for achieving asphalt pavement sustainability. The optimum asphalt content of recycled asphalt mixture is first determined by the Marshall test in this paper. Second, Materials Studio software was used to simulate the interface effect between three different asphalts and aggregate, and the adhesion between asphalt and aggregate was characterised based on the interface energy. The mesoscopic structural characteristics of three asphalt mixtures were then analysed using digital image processing technology. Finally, through three macro experiments, the influence of old asphalt on the mechanical properties of recycled asphalt mixture was studied from a macro perspective. At the microscopic level, the results show that the presence of the old asphalt reduces the adhesion between the asphalt and the aggregate. At the mesoscopic level, the presence of old asphalt reduces the porosity of the asphalt mixture. At the macroscopic level, the addition of old asphalt improves the high temperature and water stability of recycled asphalt mixture while decreasing the low temperature crack resistance. The microscopic and mechanical properties of old asphalt on recycled asphalt mixture are explained on three levels, and new ideas for research on recycled asphalt mixtures are provided.

关键词： Asphalt recycled pavement micro-structure molecular dynamics image processing technology void ratio

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Study of the Micromechanical Properties and Dissolution Characteristics of Porous Coral Reef Limestone

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JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH 2024年第11期129卷

作者： Xu, Dongsheng Zhang, Shanshan Qin, Yue Wuhan Univ Technol Sch Civil Engn & Architecture Wuhan Peoples R China Wuhan Univ Technol Sanya Sci & Educ Innovat Pk Sanya Peoples R China Wuhan Univ Technol Key Lab Roadway Bridge & Struct Engn Wuhan Peoples R China

This study investigates the fundamental properties of shallow aragonite-component dominant porous coral reef limestone (CRL) to investigate its micromechanical properties and micrometer-scale pore dissolution characteristics. Nanoindentation tests were performed to assess changes in mechanical properties before and after dissolution. A novel numerical model, integrating the level-set method (LSM), reactive-transport modeling, and image processing technology (IPT) was developed to simulate the static dissolution process of a computed tomography (CT)-scanned porous CRL structure. The nanoindentation results showed that after dissolution, the Young's modulus (E) of the primary mineral component aragonite decreased from 34.09 to 30.01 GPa. Numerical simulations further explored the effects of temperature and mineral component on the dissolution characteristics of CRL. In the multicomponent CRL structure, where both aragonite and calcite coexist, selective dissolution occurred, with aragonite inhibiting calcite dissolution and altering the dissolution pathway. Conversely, the monocomponent aragonite structure was more susceptible to forming larger pores during dissolution. Meanwhile, the dissolution volume and porosity increased with temperature, rising by 47% and 4.84%, respectively, whereas the variation in pore radius did not exhibit a consistent trend with increasing temperature. The macroscopic E was estimated using both the Mori-Tanaka approach and simulation methods, demonstrating that pore dissolution weakens the macromechanical properties of the CRL. This comprehensive analysis enhances the understanding of the physical and chemical properties of CRL, providing valuable insights for the safe and stable construction of islands and reefs.

关键词： coral reef limestone nanoindentation level-set method image processing technology dissolution

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Length Measurement of Potato Leaf using Depth Camera

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IFAC-PapersOnLine 2018年第17期51卷 314-320页

作者： Wu, Li Long, Yaowei Sun, Hong Liu, Ning Wang, Wenyun Dong, Qiaoxue China Agriculture University Beijing100083 China Key Laboratory of Modern Precision Agriculture System Integration Research Ministry of Education China Agriculture University Beijing100083 China

Leaf length is one of important parameters for crop growth estimation. In order to accurately obtain the plant leaf length, this paper proposes a slope linear hypothesis in which the leaf length could be measured in 3-D space with a right-angle model. A binocular stereo vision system was applied with RGB and depth image output. The projection of leaf could be obtained in RGB and depth image. The depth camera is used to obtain one right-angle side to correct the measurement result in RGB image. Four methods were present to compare the extract accuracy in the images. First, RGB images without leaf segmentation were used to extract leaf length (L1→) on the horizontal projection plane. Second, leaf length (L2→) were calculated with the right-angle model correction by depth image based on (L1→). Third, the preprocessing of RGB images was conducted with color image segmentation and morphological operation, then the leaf length (L3→) was extracted. Fourth, the correction leaf length (L4→) were obtained by depth image correction to L3→. Four prediction models were established to analyze L1→ L2→ L3→ and L4→ results. It is indicated that the prediction model based on the L2→ measurement has better performance, in which Rc2 is 0.7178 and Rv2 is 0.833. © 2018

关键词： Color image processing Cameras image segmentation Mathematical morphology Stereo image processing Stereo vision Color segmentation Depth image image processing technology Leaf length Morphological operations

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