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Live Detection of Face Using Machine Learning with Multi-feature Method

WIRELESS PERSONAL COMMUNICATIONS 2018年第3期103卷 2353-2375页

作者： Kumar, Sandeep Singh, Sukhwinder Kumar, Jagdish PEC Univ Technol ECE Dept Chandigarh 160012 India PEC Univ Technol EE Dept Chandigarh 160012 India

Facial expression detection (FED) and extraction show the most important role in face recognition. This research proposed a new algorithm for automatic live FED using radial basis function;Haar discrete wavelet transform and Gray-level difference method is used for feature extraction and classification. Detect edges of the facial image by otsu algorithm. The implementation results worked on Japanese Female Facial Expressions and Cohn-Kanade Extended (CK+) database for facial expression. The other database used for face detection process, namely, CMU, BioID, Long Distance, and FEI. It is usually possible for practical recognition system to record (by a camera or by computer) multiple face images from each subject. Choosing face images with high tone for recognition is a promising strategy for improving the system performance. We propose a learning to rank based (solid basic structure on which bigger things can be built) for evaluating the face image quality. But we improved limitations of this algorithm using contrast enhancement. We solved the problem of long distance and low contrast images. In the initial preprocess stage;perform median filtering for removing noise from an image. This step enhances the feature extraction process. Finding an image from the image components is a typical task in pattern recognition. The detection rate has reached up to 100% for expression recognition. The proposed system estimates the value of precision and recall. This algorithm is compared with the previous algorithm and our proposed proved better than previous algorithms.

关键词： Facial expression SVM Haar features otsu algorithm Median filter Face detection

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An Improved otsu's Thresholding algorithm on Gesture Segmentation

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JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS 2017年第2期21卷 247-250页

作者： Lv, Chongshan Zhang, Ting Liu, Chengyuan Beijing Inst Technol Sch Automat Beijing 100081 Peoples R China

In gesture recognition systems, segmenting gestures from complex background is the hardest and the most critical part. Gesture segmentation is the prerequisite of following image processing, and the result of segmentation has a direct influence on the result of gesture recognition. This paper proposed an algorithm of adaptive threshold gesture segmentation based on skin color. First of all, the image should be transformed from RGB color space to YCbCr color space. After eliminating luminance component Y, similarity graph of skin color will be obtained from the Gaussian model. Then otsu adaptive threshold algorithm is used to carry out binary processing for the similarity graph of skin color. After the segmentation of skin color regions, the morphology method is used to process binary image for determining the location of hands. Experimental results show that the detailed segmentation of skin color using the dynamic-adaptive threshold can improve noise resistance and can produce better results.

关键词： gesture segmentation gaussian model skin segmentation otsu algorithm

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The Study of otsu algorithm Applied in the Measuring of Ash Proportion

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Computer Technology and Application 2013年第8期4卷 410-414页

作者： Weihua Pan Jinghai Wang Department of Control and Computer Science North China Electric Power University Baoding 071000 China

To further improve the boiler ash ratio detection methods and resource utilization, through image processing technology for boiler ash ratio analysis, the article first studied the one-dimensional otsu algorithm, and then for the one-dimensional otsu algorithm, in order to improve the accuracy of the algorithm, then it puts forward a two-dimensional otsu algorithm. Finally the two-dimensional otsu algorithm combined with the one-dimensional otsu algorithm and the improved otsu algorithm. By analyzing the improved otsu algorithm, this paper considers the pixel gray value, neighborhood information, excluding light, noise and the relative efficiency of one-dimensional otsu algorithm higher accuracy. The relative dimensional otsu algorithm operating efficiency has been greatly improved. Improved otsu algorithm in dealing with boiler ash ratio detection has played a very good part in the ecological environment, economic development and some other important aspects.

关键词： otsu algorithm pixels the grayscale of adjacent regions the ratio of ash and dregs.

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Segmentation of Disease Image of Lettuce Leaves Based on Machine Vision 30

Segmentation of Disease Image of Lettuce Leaves Based on Mac...

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30th Chinese Control and Decision Conference (CCDC)

作者： Meng, Rui-qi Cui, Shi-gang Zhang, Yong-li Wu, Xing-li He, Lin Tianjin Univ Technol & Educ Tianjin Key Lab Intbrmat Sensing & Intelligent Co Tianjin 300222 Peoples R China

ISBN: (纸本)9781538612446

In order to apply the research on the disease of lettuce leaves, a new segmentation method of disease image of lettuce leaves was proposed based on machine vision. In this method, the otsu algorithm is used to segment the leaves and background of lettuce, and uses the II component as the data processing basis to divide the diseased area. Compared with K -means algorithm, the results show that the proposed method has higher segmentation accuracy and faster running speed.

关键词： Machine Vision Lettuce Image Segmentation otsu algorithm HSI Color Space K -Means algorithm

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Time-scale characterization of neutron and gamma signals using continuous wavelet transform 9

Time-scale characterization of neutron and gamma signals usi...

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9th International Symposium on Signal, Image, Video and Communications (ISIVC)

作者： Arahmane, H. Hamzaoui, E-M. Mahmoudi, A. El Moursli, R. Cherkaoui Mohammed V Univ Fac Sci ESMAR Lab Rabat Morocco Natl Ctr Nucl Energy Sci & Technol CNESTEN Rabat Morocco Mohammed V Univ Ecole Normale Super LIMIARF Lab Rabat Morocco

ISBN: (纸本)9781538681732

In this paper, we tackled the neutron-gamma discrimination at the output of stilbene organic scintillation detector as a blind source separation problem. The estimation of the output signal of stilbene detector is performed using Second order NMF (Nonnegative Matrix Factorization) and NTF-2 Nonnegative Tensor Factorization) methods. The recovered independent components issued from the application of these two methods are then used to define a qualitative criterion for neutron-gamma ray's characterization. For enhancing the performance of this characterization we proposed otsu's image thresholding method as image processing technique to segment the scalograms into significant regions with the aim to extract neutron and gamma ray signals from the background.

关键词： Continuous wavelets transform Nonnegative Matrix and Tensor Factorization otsu algorithm Scalogram Stilbene

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Wheel Defect Segmentation Based on Improved otsu Method 3

Wheel Defect Segmentation Based on Improved Otsu Method

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IEEE 3rd International Conference on Signal and Image Processing (ICSIP)

作者： Zhang, Ping Kong, Lingcheng Univ Sci & Technol China Dept Automat Hefei 230000 Anhui Peoples R China Hefei Inst Phys Sci Inst Adv Mfg Technol Changzhou 213000 Peoples R China

ISBN: (纸本)9781538663967

The defects on the surface of rail wheels will greatly reduce the performance and the quality of wheel. Therefore, accurate segmentation of defects in the factory before separate broken wheels is very important. In order to correctly identify the wheel defects, an improved otsu algorithm is proposed in this paper. Firstly, the gray image is filtered by bilateral filter, then calculate the threshold that satisfies the maximum ratio of weighted inter-class and intra-classes, which is used as the optimal threshold for defect segmentation. Simulation results show that the improved otsu algorithm can find a better threshold and improve the image preprocessing effect.

关键词： defect recognition image segmentation otsu algorithm filtering

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Paper-cutting Image Retrieval Technology based on LSH Improvement

Paper-cutting Image Retrieval Technology based on LSH Improv...

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3rd International Conference on Mechatronics Engineering and Information Technology(ICMEIT 2019)

作者： Xintong Liu Huaxiong Zhang Zhejiang University of Technology

Characteristics of paper-cutting, paper-cutting gallery construction, etc. are analyzed aiming at existing problems of folk traditional paper-cutting art multimedia interactive platform. It is proposed that rotation invariant LBP（Local Binary Pattern） is combined with LSH algorithm to present a large-scale paper-cutting image fast retrieval method. Firstly, the background image is eliminated with otsu, then the paper-cutting image rotation LBP feature. In addition, highdimensional data is mapped to low dimensional space, and a hash index was constructed by local sensitive hash algorithm to find the approximate KNN. Experimental result in the dataset shows that the improved algorithm has high accuracy on paper-cutting image retrieval, and it is significantly higher than traditional algorithm on retrieval speed.

关键词： paper-cutting image retrieval otsu algorithm LBP textural features LSH index

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Research on Pupil Center Localization in Eye Gaze Tracking System 37

Research on Pupil Center Localization in Eye Gaze Tracking S...

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37th Chinese Control Conference (CCC)

作者： Jin, Xing Li, Zhicheng Zhang, Jingjing Yang, Xiang China Univ Geosci Sch Automat Wuhan 430074 Hubei Peoples R China Hubei Key Lab Adv Control & Intelligent Automat C Wuhan 430074 Hubei Peoples R China

ISBN: (纸本)9789881563958

The human-computer interaction technology which based on the gaze tracking system is convenient and fast. It can achieve the purpose of sight and computer interaction. Based on the relatively static head tracking system, we make improvements for otsu algorithm to separate the binarized pupil image and the background image completely. I wrote a function to delete a small area that gets a complete and clear binarized pupil image for the existence of small area noise clump. Finally, using the contour extraction method and the three - point circle method to complete the task of Pupil location.

关键词： Gaze tracking system otsu algorithm Pupil location

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Detection of the moving targets of forward-looking sonar based on background elimination method 8

Detection of the moving targets of forward-looking sonar bas...

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IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)

作者： Cui, Jie Hu, Changqing Xu, Haidong Chinese Acad Sci Shanghai Acoust Lab Shanghai Peoples R China Univ Chinese Acad Sci Shanghai Peoples R China

ISBN: (纸本)9781538679463

Forward-looking sonar (FLS) is widely used in the industry of underwater moving targets detection, both in sea and lake environments. Aiming to detect the moving targets in the FLS images for fixed scene, a background elimination method was proposed. Firstly, choosing the sonar beam data as the processing object, a background model was established by the mid-value of each echo point in the time dimension. Secondly, the moving targets difference image was generated by background elimination algorithm. Finally, the moving targets binary image was segmented from the difference image by otsu threshold method. In the second step, compared with the mean-value background used in single gaussian background model, the mid-value background was less disturbed by moving targets and more consistent with the actual background. Compared with the inter-frame diff8erence method, the proposed method could accurately segment the moving target from the FLS images. Therefore, the proposed method can be used in underwater moving targets detection, also it has the potential application in the underwater monitoring work.

关键词： forward-looking sonar mid-value background model otsu algorithm moving target detection

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Analysis of TFT-LCD Point Defect Detection System Based on Machine Vision

Analysis of TFT-LCD Point Defect Detection System Based on M...

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2019 2nd International Conference on Computer Science and Advanced Materials(CSAM 2019)

作者： Zhang Wenqian Zhang Jinhong Department of Computer Science and Technology the University of Electronic Science and Technology of China College of Materials and Energy the University of Electronic Science and Technology of China

This paper mainly gives an introduction to the machine vision-based TFT-LCD point defect detection control system. As the use of otsu algorithm for segmentation is not good enough for TFT-LCD image in the condition of weak contrast ratio of the object and background, it is proposed to improve the threshold and extract function by Wible function, and the optimized otsu algorithm has better segmentation effect than the traditional otsu algorithm in the condition of weak contrast ratio of the object and background. After the testing by transplanting the Matlab image processing program to the hardware platform of TFT-LCD defect detection control system, the experimental results show that the detection control system can quickly and accurately process three types of defects, and the shortest detection time can be shortened to 4.5 s.

关键词： machine vision TFT-LCD otsu algorithm defect detection

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