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18th International Multi-Conference on Systems, Signals & Devices (SSD)

作者： Boufares, Oussama Boussif, Mohamed Aloui, Noureddine Univ Tunis El Manar Dept Phys Tunis Tunisia

ISBN: (纸本)9781665414937

In this paper, we have proposed a robust and computationally inexpensive threefold algorithm used for the detection of moving objects in a video sequence. The adopted algorithm starts with computation of difference between images using modified temporal difference. Images differencing are calculated by subtracting two input frames, at each position of the pixel. Instead of generating image differencing using the traditional continuous approach, we have proposed to use a fixed and modified number of alternate frames centered on the current frame. This approach aims to reduce the computational complexity without compromising on image differencing quality. Object segmentation is finally performed on the refined difference image by the otsu's algorithm. The evaluation tests show that the proposed approach reaches the better performance of detection compared with other approaches.

关键词： Modified Temporal Difference Moving Object Detection three frame differencing otsu algorithm

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Improved Spectral Water Index Combined with otsu algorithm to Extract Muddy Coastline Data

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WATER 2022年第6期14卷 855-855页

作者： Tang, Wei Zhao, Chengyi Lin, Jing Jiao, Caixia Zheng, Guanghui Zhu, Jianting Pan, Xishan Han, Xue Nanjing Univ Informat Sci & Technol Sch Geog Sci Nanjing 210044 Peoples R China Univ Wyoming Dept Civil & Architectural Engn Laramie WY 82071 USA Coastal Res Ctr Jiangsu Nanjing 210036 Peoples R China

Based on the spectral reflection characteristics analysis of the muddy coastline in Jiangsu, an improved spectral water index (IWI) combined with the otsu algorithm is proposed to extract muddy coastlines from Landsat Operational Land Imager (OLI) images. The IWI-extracted coastline results are compared with those extracted by the modified normalized difference water index (MNDWI), normalized difference water index (NDWI), enhanced water index (EWI), revised normalized different water index (RNDWI) and automated water extraction index (AWEI). The results show that the IWI is not affected by tidal conditions or sand content in the water, can reduce the "salt-and-pepper" phenomenon in the otsu algorithm classification, can accurately identify water boundaries and can extract silty mudflats and marine buildings with high accuracy. It can also significantly increase the degree of automation of coastline extraction. The IWI combined with the otsu algorithm demonstrates high accuracy of over 84% in the extraction muddy coastline data with one-pixel tolerance, which is twice as accurate as other indices. The accuracy of extraction for all other types of coastlines is over 81%. Therefore, the IWI index combined with the otsu algorithm is reliable for studies of sea-land processes and coastline evolutions.

关键词： coastline extraction muddy coast spectral reflectance spectral index otsu algorithm

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The use of otsu algorithm and multi-temporal airborne LiDAR data to detect building changes in urban space

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APPLIED GEOMATICS 2021年第4期13卷 499-513页

作者： dos Santos, Renato Cesar Galo, Mauricio Carrilho, Andre Caceres Pessoa, Guilherme Gomes Sao Paulo State Univ Dept Cartog Presidente Prudente SP Brazil Sao Paulo State Univ Grad Program Cartog Sci PPGCC Presidente Prudente SP Brazil

Building change detection techniques are essential for several urban applications. In this context, multi-temporal airborne LiDAR data has been considered an effective alternative since it has some advantages over conventional photogrammetry. Despite several works in the literature, the automatic class definition with great accuracy and performance remains a challenge in change detection. The developed strategies usually explore training samples or empirical thresholds to discriminate the classes. To overcome this limitation, we proposed an automatic building change detection method based on otsu algorithm and median planarity attribute computed from eigenvalues. The main contribution corresponds to the automatic and unsupervised identification of building changes. The experiments were conducted using airborne LiDAR data from two epochs: 2012 and 2014. From qualitative and quantitative analysis, the robustness of the proposed method in detecting building changes in urban areas was evaluated, presenting completeness and correctness around 99% and 76%, respectively.

关键词： Building change detection LiDAR data otsu algorithm Planarity

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Image segmentation of argon blowing based on improved otsu algorithm 4

Image segmentation of argon blowing based on improved Otsu a...

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4th International Conference on Intelligent Autonomous Systems (ICoIAS)

作者： Huang, Yukang Xiong, Ling Liu, Yang Deng, Pan Dan, Binbin Wuhan Univ Sci & Technol Engn Res Ctr Met Automat & Measurement Technol Inst Robot & Intelligent Syst Minist Educ Wuhan 430081 Peoples R China Wuhan Univ Sci & Technol Key Lab Met Equipment & Control Minist Educ Wuhan 430081 Peoples R China WISCO Ltd Technol Ctr Baosteel Cent Res Inst Wuhan 430081 Peoples R China

ISBN: (纸本)9781665441957

Argon blowing at the bottom of ladle is a process for smelting high-quality steel. For realizing the argon blowing automatic control of flow based computer vision, the argon blowing interface is monitored by a camera. Image segmentation of argon blowing is the key to get clear exposed area of molten steel. In order to ensure the accuracy and real-time of image segmentation, an improved otsu algorithm is proposed. Firstly, the simulated annealing algorithm is adopted to optimum the new individual selection process of genetic algorithm. Then use the proportion of the target area pixels to the image as the weight to modify the formula of maximum interclass variance. Finally, the improved otsu formula is used as the fitness function of the genetic algorithm for image thresholding. Experiments show that the proposed algorithm can achieve greater F-score than other algorithms, and the requirement of real-time image processing can be satisfied, which is valuable in engineering application.

关键词： image segmentation otsu algorithm argon blowing image threshold

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Detection of Cardiomegaly from Chest X-rays using otsu algorithm and Convolutional Neural Network 5

Detection of Cardiomegaly from Chest X-rays using Otsu Algor...

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IEEE 5th International Conference for Convergence in Technology (I2CT)

作者： Mohare, Saish Rathi, Varun Dawani, Iieena Oswal, Sangeeta Vivekanand Educ Soc Dept Informat Technol Inst Technol Mumbai Maharashtra India Vivekanand Educ Soc Inst Technol Mumbai Maharashtra India

ISBN: (纸本)9781538680759

This paper proposes an automated classification method of chest x-rays and combines image processing and deep learning to do the same. A convolutional neural network has been used for the purpose of image classification. The experimental results are computed by using the NIH chest x-rays dataset from Kaggle. The results, when compared to benchmark algorithms, indicate that the 8-layered convolutional neural network considerably increases the accuracy in general. Image processing makes the chest x-ray images binary, making the classification much more efficient.

关键词： Cardiomegaly Convolutional Neural Network Image processing otsu algorithm

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A Fast Decomposed Three-dimensional otsu algorithm Based on Cuckoo Search for Image Segmentation

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JOURNAL OF APPLIED SCIENCE AND ENGINEERING 2018年第3期21卷 447-454页

作者： Yang, Xiao Wang, Lie-Jun Qin, Ji-Wei Zuo, Hang Xinjiang Univ Coll Informat Sci & Engn Urumqi Xinjiang 830046 Peoples R China Xinjiang Univ Coll Software Urumqi Xinjiang 830046 Peoples R China Xinjiang Univ Network & Informat Technol Ctr Urumqi Xinjiang 830046 Peoples R China

Image threshold method is an important technique for image segmentation. The maximum between-class variance of pixel (otsu) algorithm has been widely applied in the literature. However, the original otsu method for image segmentation is very time-consuming, and the segmentation results are often unstable for the image with low signal to noise ratio (SNR). In this paper, a fast image segmentation method (D3otsu-CS), decomposed three-dimensional otsu based on the technology of the cuckoo search (CS), is proposed. The proposed method starts by overcoming the complex computational by decomposing the original three-dimensional otsu into a one-dimensional otsu and a two-dimensional otsu. The cuckoo search algorithm is employed to find the optimal threshold vector by the global Levy flight searching, and the between-class variance of the two-dimensional otsu is investigated as fitness functions. The Experimental results are illustrated to show that the computation time efficiency of the proposed method is increased by about 98.6% than the 3otsu. In addition, the stability and reliability of the segmentation results by the proposed method outperform 2otsu and 3otsu.

关键词： Image Segmentation otsu algorithm Cuckoo Search Levy Flight Nature-inspired Strategy

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Detect concrete cracks based on otsu algorithm with differential image

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JOURNAL OF ENGINEERING-JOE 2019年第23期2019卷 9088-9091页

作者： Chen, Bo Zhang, Xuan Wang, Ruitao Li, Zhen Deng, Wei CSIC Purificat Equipment Res Inst Handan 056004 Peoples R China

Aiming at the detection of concrete surface cracks, based on digital image processing technology, otsu algorithm is processed based on differential image. First, the Gaussian filter is acted on the original image to obtain the smoothed image. Then the smoothed image is subtracted by the original image, the differential image is obtained. According to the otsu algorithm, the optimal threshold on the differential image was calculated. As the characteristic cracks are a few pixels and with lower grey values, the pixels whose grey values are less than the mean value of the whole image to get the best threshold value were only calculated. Finally, remove the background noise based on the morphologic noise reduction to obtain the binary image of the crack. The experimental results show that the cracks can be discerned in complex backgrounds.

关键词： concrete image denoising surface cracks image segmentation crack detection smoothing methods structural engineering computing otsu algorithm digital image processing technology concrete surface crack detection Gaussian filter morphologic noise reduction image smoothening

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A Fast Decomposed Three-dimensional otsu algorithm Based on Cuckoo Search for Image Segmentation

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淡江理工学刊 2018年第3期21卷 447-454页

作者： Xiao Yang Lie-Jun Wang Ji-Wei Qin Hang Zuo

Image threshold method is an important technique for image segmentation. The maximum between-class variance of pixel (otsu) algorithm has been widely applied in the literature. However, the original otsu method for image segmentation is very time-consuming, and the segmentation results are often unstable for the image with low signal to noise ratio (SNR). In this paper, a fast image segmentation method (D3otsu-CS), decomposed three-dimensional otsu based on the technology of the cuckoo search (CS), is proposed. The proposed method starts by overcoming the complex computational by decomposing the original three-dimensional otsu into a one-dimensional otsu and a two-dimensional otsu. The cuckoo search algorithm is employed to find the optimal threshold vector by the global Lévy flight searching, and the between-class variance of the two-dimensional otsu is investigated as fitness functions. The Experimental results are illustrated to show that the computation time efficiency of the proposed method is increased by about 98.6% than the 3otsu. In addition, the stability and reliability of the segmentation results by the proposed method outperform 2otsu and 3otsu.

关键词： Image Segmentation otsu algorithm Cuckoo Search Lévy Flight Nature-inspired Strategy

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Multi-dimension and multi-granularity segmentation of remote sensing image based on improved otsu algorithm 14

Multi-dimension and multi-granularity segmentation of remote...

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14th IEEE International Conference on Networking, Sensing and Control (ICNSC)

作者： Huang, Dongmei Sun, Jingqi Liu, Shuang Xu, Shoujue Liang, Suling Li, Cong Wang, Zhenhua Shanghai Ocean Univ Coll Informat Technol Shanghai Peoples R China

ISBN: (纸本)9781509044290

An increasing number of unknown islands, an important resource for human development, is identified based on segmentation of remote sensing image. Different from traditional digital image, remote sensing image has significant characteristics, such as multi-band, multi-source, and multi-granularity. Thus, the segmentation theory based on traditional digital image is not suitable for remote sensing image. Here, the segmentation algorithm (otsu), which is a common method for traditional digital image, was improved in two aspects: (1) Based on PCA and band fusion, the otsu algorithm with one-dimensional image was extended to multi-dimensional ones;(2) By optimizing the threshold value, the otsu algorithm for single feature extraction was extended to multi-granularity extraction. Taking the island segmentation from remote sensing image as an example, the improved otsu algorithm was compared with the traditional otsu: 1) Through using PCA algorithm, multi-band remote sensing image was reduced to effective 3-4 new bands;2) Through different threshold settings, the objects in the remote sensing image are divided into different classes;3) The improved otsu algorithm reduces the computational complexity, taking the threshold value of 2 as an example, the time efficiency is improved by 42.15%.

关键词： multi-dimension multi-granularity remote sensing image otsu algorithm

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Selective Sampling and otsu algorithm based Spectrum Sensing in Cognitive Radio Networks 25

Selective Sampling and Otsu Algorithm based Spectrum Sensing...

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25th Signal Processing and Communications Applications Conference (SIU)

作者： Namdar, Mustafa Kocak, Fatih Basgumus, Arif Dumlupinar Univ Elekt Elekt Muhendisligi Kutahya Turkey

ISBN: (纸本)9781509064946

In this study, the performance analysis of the spectrum sensing in cognitive radio networks is investigated with the energy detector method over Rician fading channels with the selective sampling and otsu algorithm. Here, a new method based on noise reduction using the wavelet transform is proposed. Performance analysis of the proposed system model over Rician fading channels is presented by receiver operating characteristic curves for different signal to noise ratio values. The results show that the spectrum sensing performance increases when the selective sampling and otsu algorithm are used at the receiver.

关键词： cognitive radio wavelet transform energy detector selective sampling otsu algorithm spectrum sensing

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