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Image segmentation of overlapping leaves based on Chan–Vese model and sobel operator

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Information Processing in Agriculture 2018年第1期5卷 1-10页

作者： Zhibin Wang Kaiyi Wang Feng Yang Shouhui Pan Yanyun Han Beijing Research Center for Information Technology in Agriculture Beijing 100097China National Engineering Research Center for Information Technology in Agriculture Beijing 100097China Key Laboratory of Agri-informatics Ministry of Agriculture of ChinaBeijing 100097China School of Economics&Management China Agricultural UniversityBeijing 100083China

To improve the segmentation precision of overlapping crop leaves,this paper presents an effective image segmentation method based on the Chan–Vese model and sobel *** approach consists of three ***,a feature that identifies hues with relatively high levels of green is used to extract the region of leaves and remove the ***,the Chan–Vese model and improved sobel operator are implemented to extract the leaf contours and detect the edges,***,a target leaf with a complex background and overlapping is extracted by combining the results obtained by the Chan–Vese model and sobel *** verify the effectiveness of the proposed algorithm,a segmentation experiment was performed on 30 images of cucumber *** mean error rate of the proposed method is 0.0428,which is a decrease of 6.54%compared with the mean error rate of the level set *** results show that the proposed method can accurately extract the target leaf from cucumber leaf images with complex backgrounds and overlapping regions.

关键词： Leaf segmentation sobel operator Overlapping leaves Chan–Vese model Image fusion

Grey Relevancy Degree and Improved Eight-Direction sobel operator Edge Detection

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Journal of Signal and Information Processing 2021年第2期12卷 43-55页

作者： Yang Yang Lianxin Wei College of Science University of Shanghai for Science and Technology Shanghai China

Edge detection is an important aspect to improve image edge quality in image processing. The purpose of edge detection is to identify the points in digital images with great brightness variation. However, the accuracy of traditional edge detection methods in edge extraction is low. For the actual image, the grey edge is sometimes not very clear, the image also contains noise. The detection result of the traditional Sobel operator is relatively accurate, but the detection result is rough and sensitive to noise. To solve the above problems, this paper proposes an improved eight-direction Sobel operator based on grey relevancy degree, which combines 5 × 5 Sobel operator with a grey relational degree and a new eight-direction grey relevancy method. The results show that this method can detect the useful information of edge more accurately and improve the anti-noise performance. However, the drawback is that the algorithm is not automatic.

关键词： Edge Detection Grey Relevancy Eight Directions sobel operator

Image Segmentation of CV Model Combined with sobel operator

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Image Segmentation of CV Model Combined with Sobel Operator

Movement Invariants-based Algorithm for Medical Image Tilt Correction

第32届中国控制与决策会议

作者： Chunbo Xiu Haichang Yin Yuxia Liu School of Electrical Engineering and Automation Tiangong University Key Laboratory of Advanced Electrical Engineering and Energy Technology Tiangong University Department of Information Engineering Shandong Water Conservancy Vocational College

Aiming at the problem that CV model cannot segment the image with uneven grayscale well,a method combining differential information with CV model is *** operator is used to detect the edge information of the *** adds differential information to grayscale *** operator is combined with CV *** energy functional is constructed and grayscale mean of that is replaced by the grayscale mean with differential *** curve is approached to the target contour until the energy functional converges to the minimum ***,the complete target is *** experimental results show that the improved method can improve the segmentation effect of images with uneven grayscale.

关键词： Image Segmentation CV Model sobel operator Grayscale Value

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International Journal of Automation and computing 2010年第4期7卷 543-549页

作者： Mei-Sen Pan Jing-Tian Tang Xiao-Li Yang Institute of Biomedical Engineering School of Info-physics and Geomatics Engineering Central South University Changsha 410083 PRC Department of Computer Science and Technology Hunan University of Arts and Science Changde 415000 PRC

In this paper, the edge detection for a medical image is performed based on sobel operator, and the bounding box is obtained, by which the effective medical sub-image is extracted. Then, the centroid and the normalized central moments of the medical sub-image are calculated, and the rotation angle a is obtained by minimizing the second-order central moment based on its rotation invariance. Finally, the whole medical image is rotated around the centroid by --a to correct the tilted image. F^rthermore, inspired by the uniformity degree of the image, the rotation angle ct is revised, which achieves a better correction effect and performance. The experimental results show that the proposed algorithms are fairly reliable and accurate for the determination of tilt angles, and are practical and effective tilt correction techniques.

关键词： Tilt correction central moment medical image image uniformity sobel operator

Edge-Oriented Spatial Interpolation for Error Concealment of Consecutive Blocks

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Journal of Computer Science & Technology 2007年第3期22卷 494-496,F0003页

作者：付炜邢广忠 Department of Electronic Engineering Yanshan University Qinhuangdao 066004 China Department of Material Science Yanshan University Qinhuangdao 066004 China

This paper proposes a low-complexity spatial-domain error concealment （EC） algorithm for recovering consecutive blocks error in still images or intra-coded （I） frames of video sequences. The proposed algorithm works with the following steps. Firstly the sobel operator is performed on the top and bottom adjacent pixels to detect the most probable edge direction of current block area. After that one-dimensional （1-D） matching is used on the available block boundaries. Displacement between edge direction candidate and most probable edge direction is taken into consideration as an important factor to improve stability of 1-D boundary matching. Then the corrupted pixels are recovered by linear weighting interpolation along the estimated edge direction. Finally the interpolated values are merged to get last recovered picture. Simulation results demonstrate that the proposed algorithms obtain good subjective quality and higher PSNR than the methods in literatures for most images.

关键词： error concealment (EC) spatial interpolation boundary matching sobel operator

A MODIFIED EDGE-ORIENTED SPATIAL INTERPOLATION ALGORITHM FOR CONSECUTIVE BLOCKS ERROR CONCEALMENT

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Journal of Electronics(China) 2007年第2期24卷 214-217页

作者： Fu Wei Xing Guangzhong Department of Communication and Electronic Engineering Yanshan University Qinhuangdao 066004 China

This paper proposes a low-complexity spatial-domain Error Concealment (EC) algorithm for recovering consecutive blocks error in still images or Intra-coded (I) frames of video sequences. The proposed algorithm works with the following steps. Firstly the sobel operator is performed on the top and bottom adjacent pixels to detect the most likely edge direction of current block area. After that one-Dimensional (1D) matching is used on the available block boundaries. Displacement between edge direction candidate and most likely edge direction is taken into consideration as an important factor to improve stability of 1D boundary matching. Then the corrupted pixels are recovered by linear weighting interpolation along the estimated edge direction. Finally the interpolated values are merged to get last recovered picture. Simulation results demonstrate that the proposed algorithms obtain good subjective quality and higher Peak Signal-to-Noise Ratio (PSNR) than the methods in literatures for most images.

关键词： Error concealment Spatial. interpolation Boundary matching sobel operator

Tracking Algorithm Based on Joint Features

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Tracking Algorithm Based on Joint Features

Study on Barcode Digital Recognition of smart meters based on Projection-histogram Matching

2013年中国智能自动化学术会议

作者： Xiaofeng Shi Zhiping Zhou School of Internet of Things Engineering Jiangnan University

In the study of target tracking process,when the target has a similar color to the background easily leads to the loss of the target due to illumination and *** order to avoid the drawback of Mean shift which only uses color information as the features to track the target,sobel operator and local binary patterns(LBP) are combined to extract the textures of the moving target as Mean shift *** advantage of the Mean shift algorithm can compute the histogram ***,this process can’t change the size of a search window. Therefore,the proposed method extracts the feature points of the object in the region that given by the improved Mean shift and according to the information that the positions of the special feature points,a new search window is *** experiments show that the proposed object tracking system performs more accurately than the Mean shift algorithm.

关键词： Object tracking LBP sobel operator Variable search window Mean shift

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Study on Barcode Digital Recognition of smart meters based o...