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International Conference on Advanced Design and Manufacturing Engineering (ADME 2011)

作者： Huang, Ying Pan, Qi Liu, Qi He, Xinpeng Liu, Yunfeng Yu, Yongquan Guangdong Univ Technol Fac Automat 100 Waihuan Xi Rd Guangzhou 510006 Guangdong Peoples R China Guangdong Univ Technol Fac Comp Guangzhou 510006 Guangdong Peoples R China

ISBN: (纸本)9783037852163

Machine vision is widely used in automation detection of chip pins' defect, the accuracy of image edge detection has a very big effect for inspection result. canny algorithm is a kind of edge detection algorithm which has good comprehensive evaluation, but the Gaussian filter algorithm it used may cause image too smooth and edge fuzzy, and it is very sensitive for impulse noise. This paper proposes an improved switch median filter algorithm, which is applied into canny algorithm, makes the edge of IC Chip pin more complete and remove noise better. Through experiments, it proved that the method is feasible and effective.

关键词： canny algorithm Edge detection Switch median filter IC chip Surface mounted technology (SMT) Pin inspection Image processing

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Research on Adaptive canny algorithm Based on Dual-Domain Filtering 8th

Research on Adaptive Canny Algorithm Based on Dual-Domain Fi...

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8th International Symposium on Parallel Architectures, algorithms, and Programming (PAAP)

作者： Shen, Xiajiong Duan, Xiaoyu Han, Daojun Yuan, Wanli Henan Univ Inst Data & Knowledge Engn Kaifeng 475004 Henan Peoples R China Henan Univ Sch Comp & Informat Engn Kaifeng 475004 Henan Peoples R China

ISBN: (纸本)9789811064425;9789811064418

In order to overcome the shortcomings of the traditional canny algorithm, which is easy to lose the edge details of the edge detection, and is prone to a large number of false edges and the threshold needs to be manually determined, an adaptive canny algorithm based on Dual-domain filtering is proposed. Firstly, the Dual-domain filter is used to instead of the traditional algorithm, which is used to remove the image noise while preserving the image edge information, and more effective than the traditional canny algorithm;Secondly, the Otsu algorithm is used to calculate the high and low threshold of canny operator in order to achieve the purpose of high automation. The experimental results show that the improved algorithm can detect more effective edges of the image, but also has a strong adaptability.

关键词： canny algorithm Edge detection Dual-domain filtering Gauss filter Genetic algorithm Otsu algorithm

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An Improved canny algorithm with Adaptive Threshold Selection

An Improved Canny Algorithm with Adaptive Threshold Selectio...

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International Conference on Engineering Technology and Application (ICETA)

作者： Wang, Yupeng Li, Jiangyun Univ Sci & Technol Beijing Sch Automat & Elect Engn Beijing 100083 Peoples R China

canny is a classic algorithm of edge detection which has been widely applied in various fields of image processing for years. However, the algorithm has some defects. The most serious defect is that the traditional canny algorithm can't set threshold adaptively. If the threshold set manually is not accurate, it will seriously affect the quality of the algorithm to detect the edge. This makes the poor adaptability of the algorithm. This paper proposes a method which combines maximum entropy method with Otsu method to determine the high and low threshold of canny algorithm. Experiments show that the modified algorithm has stronger robustness than traditional method. For the images which have complex distributions of grey level histogram, the modified algorithm has better performance.

关键词： edge detection adaptive threshold maximum entropy method Otsu method canny algorithm

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Automatic edge Detection Method of Power Chip Packaging Defect Image Based on Improved canny algorithm 9

Automatic edge Detection Method of Power Chip Packaging Defe...

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9th International Conference on Electronic Technology and Information Science (ICETIS)

作者： He, Yumin Xin, Mingyong Wang, Yu Xu, Changbao Guizhou Power Grid Co Ltd Elect Power Res Inst Guiyang 550002 Guizhou Peoples R China

ISBN: (纸本)9798350388350;9798350388343

The current proposed image edge automatic detection method is susceptible to external interference and the detection results are fuzzy. To address this issue, a new image edge automatic detection method for power chip packaging defects is proposed based on the improved canny algorithm. Using a dual filtering algorithm to remove noise from images of power chip packaging defects and improve image quality. The traditional canny algorithm has problems of insufficient accuracy and threshold selection relying on human experience in edge detection. Therefore, the Scharr operator is used instead of the Sobel operator for image gradient calculation to improve the accuracy of edge detection;At the same time, the maximum class variance method (Qtsu algorithm) is used to adaptively select the optimal threshold of the image, thereby avoiding errors caused by human experience. The Laplace operator is introduced to sharpen the image and fuse the sharpened image with the original image, thereby preserving the information of the original image and enhancing the effect of edge detection. The experimental results show that the image edge automatic detection method for power chip packaging defects based on the improved canny algorithm studied has a high noise reduction ratio and strong anti-interference ability. The boundary error for defect image detection is less than 2mm, and the results are relatively accurate, in line with the inspection standards for chip packaging, and have high stability.

关键词： defect image edge detection Chip packaging canny algorithm Automatic detection

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Ship infrared image edge detection based on an improved adaptive canny algorithm

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INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS 2018年第3期14卷

作者： Liu, Lisang Liang, Fenqiang Zheng, Jishi He, Dongwei Huang, Jing Fujian Univ Technol 33 South Xuefu Rd Fuzhou 350108 Fujian Peoples R China Fujian Univ Technol Key Lab Digital Equipment Fuzhou Fujian Peoples R China

Influenced by light reflection and water fog interference, ship infrared images are mostly blurred and have low signal-to-noise ratio. In this paper, an improved adaptive canny edge detection algorithm for infrared image of ship is proposed, which aims to solve the threshold of the traditional canny cannot be adjusted automatically and the shortcomings of sensitivity to noise. The contrast limited adaptive histogram equalization algorithm is adopted to enhance the infrared image, the morphological filter replaces the Gauss filter to smooth the image, and the OTSU algorithm is utilized to adjust the high and low thresholds dynamically. The experimental results show that the improved canny algorithm, which can not only improve the contrast of the image and automatically adjust the threshold but also reduce the background sea clutter and false edges, is an effective edge detection method.

关键词： Infrared image edge detection canny algorithm OTSU contrast limited adaptive histogram equalization

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A Method for Extracting Contours of Building Facade Hollowing Defects Using Polarization Thermal Images Based on Improved canny algorithm

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BUILDINGS 2023年第10期13卷 2563页

作者： Zhu, Darong Li, Jianguo Wang, Fangbin Gong, Xue Cong, Wanlin Wang, Ping Liu, Yanli Anhui Jianzhu Univ Sch Mech & Elect Engn Hefei 230601 Peoples R China Anhui Jianzhu Univ Key Lab Construct Machinery Fault Diag & Early War Hefei 230601 Peoples R China State Grid Anhui Elect Power Co Ltd Ultra High Voltage Branch Hefei 230041 Peoples R China

During the service process of high-rise buildings, hollowing defects may be produced in the decorative layer, which not only affect the appearance, but also create a safety hazard of wall covering and shattered plaster peeling. Numerous studies have shown that hollowing can be detected using infrared thermal imagery under normal conditions. However, it is difficult to detect the edge and calculate the area of the hollowing on an exterior facade accurately because of the low contrast and fuzzy boundaries of the obtained infrared thermal images. To address these problems, a method for extracting the contours of building facade hollowing defects using polarization thermal images based on an improved canny algorithm has been proposed in this paper. Firstly, the principle of thermal polarization imaging was introduced for hollowing detection. Secondly, considering the shortcomings of the canny edge detection algorithm and the features of polarization thermal images, an improved canny edge detection algorithm is proposed, including adaptive bilateral filtering to improve noise reduction ability while ensuring defect edges are not virtualized, Laplacian sharpening and histogram equalization to achieve contour sharpening and contrast enhancement, and eight-direction gradient templates for calculating image gradients, which make interpolation with non-maximum suppression more accurate, and the Tsallis entropy threshold segmentation algorithm based on the OTSU algorithm verification makes the image contour information more complete and accurate. Finally, a long-wave infrared polarization thermal imaging experimental platform was established and validation experiments were conducted. The experimental results demonstrate that the distinct, smooth, and precise location edges of the hollowing polarization infrared thermal images can be obtained, and the average error of the detected hollowing area is about 10% using the algorithm proposed in this paper.

关键词： wall hollowing canny algorithm polarization thermal images edge detection thermal defect distinguish

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An Improved canny algorithm

An Improved Canny Algorithm

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27th Chinese Control Conference

作者： Pan Dafu Wang Bo Beijing Inst Technol Sch Informat Sci & Technol Dept Automat Control Beijing 100081 Peoples R China

ISBN: (纸本)9787900719706

Image is analysed under multi-scale filtering in canny algorithm frame. Firstly, scale multiplication is defined by filter responses multiplication of two different scales. Then the modulus and orientation is determined by the similarity of adjacent scales. Thirdly, a threshold value is chosen to eliminate false edge. Finally, the edge is obtained after non-maximum suppression. Experimental results show the superior performance of the proposed algorithm in noise restrain and edge localization than the traditional canny algorithm.

关键词： edge detection scale multiplication canny algorithm

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Image detection method based on improved canny algorithm

Image detection method based on improved Canny algorithm

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第40届中国控制会议

作者： Xiangyang Zhu Minan Tang Kaiyue Zhang Qianqian Wang School of Automation & Electrical Engineering Lanzhou Jiao Tong University College of Electrical and Information Engineering Lanzhou University of Technology

In the field of image edge detection, canny algorithm has a better effect than other traditional edge detection algorithms in noise filtering and edge preserving. However, the traditional canny algorithm has some defects in image preprocessing and adaptability. The Gaussian filter used in the traditional canny algorithm is very poor in filtering out salt and pepper noise. The high and low threshold of the last step need to be set manually, which increases the time cost and lacks selfadaptability. This paper is proposed an improved canny operator edge detection method, which uses adaptive median filter and guided filter instead of Gaussian filtering to smooth and denoise the image. Finally the improved Otsu algorithm is used to select the high and low thresholds to improve the overall adaptability. The simulation experiment results show that the improved canny algorithm not only filters out most noises, especially salt and pepper noise, but also retains more image edge details, the identified image edges are smoother, and false edges are removed.

关键词： canny algorithm hybrid filtering edge detection salt and pepper noise

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An Improved canny algorithm with Adaptive Threshold Selection

An Improved Canny Algorithm with Adaptive Threshold Selectio...

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2015 2nd International Conference on Engineering Technology and Application

作者： Yupeng Wang Jiangyun Li School of Automation & Electrical Engineering University of Science and Technology Beijing

canny is a classic algorithm of edge detection which has been widely applied in various fields of image processing for ***,the algorithm has some *** most serious defect is that the traditional canny algorithm can't set threshold *** the threshold set manually is not accurate,it will seriously affect the quality of the algorithm to detect the *** makes the poor adaptability of the *** paper proposes a method which combines maximum entropy method with Otsu method to determine the high and low threshold of canny *** show that the modified algorithm has stronger robustness than traditional *** the images which have complex distributions of grey level histogram,the modified algorithm has better performance.

关键词： edge detection adaptive threshold maximum entropy method Otsu method canny algorithm

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Packaging Bag Edge Detection Based on Improved canny algorithm

Packaging Bag Edge Detection Based on Improved Canny Algorit...

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第34届中国控制与决策会议

作者： Rui Wang Lisheng Wei Xiaohui Liu School of Electrical Engineering Anhui Polytechnic University Anhui Key Laboratory of Electric Drive and Control Anhui Polytechnic University Shanghai Oushuo Intelligent Packaging Technology Co. Ltd

Aiming at the problem that the gray contrast of packaging bag patterns is not obvious in edge detection,an edge detection method of packaging bags based on improved canny algorithm is ***,the image is grayscale ***,the threshold is determined adaptively using Augmented *** Otsu adaptation makes the edge information of the detected image richer and the overall information more ***,the obtained threshold is input into the canny algorithm to obtain the edge detection ***,the experimental results are analyzed and the information entropy is *** results show that the edge image output by the improved canny algorithm is richer in edge information,and the information entropy is increased by 12.63%,5.09%,3.18%,and 5.41%,respectively.

关键词： Packaging Bag canny algorithm Edge Detection Grayscale Stretching Enhanced Otsu

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