Vector co‐occurrence morphological edge detection for colour image

Author:

Lu Ying1,He Chunming2,Yu Yu‐Feng3,Xu Guoxia4,Zhu Hu4,Deng Lizhen5

Affiliation:

1. Unmanned System Research Institute Northwestern Polytechnical University Xian People's Republic of China

2. Bell Honors School Nanjing University of Posts and Telecommunications Nanjing People's Republic of China

3. Department of Statistics Guangzhou University Guangzhou People's Republic of China

4. National Engineering Research Center of Communication and Network Technology Nanjing University of Posts and Telecommunications Nanjing People's Republic of China

5. Jiangsu Province Key Lab on Image Processing and Image Communication Nanjing University of Posts and Telecommunications Nanjing People's Republic of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference30 articles.

1. PCNN model analysis and its automatic parameters determination in image segmentation and edge detection;Deng X.Y.;Chin. J. Electron.,2014

2. Review of theory and methods of image segmentation;Wu X.H.;Agric. Biotechnol.,2018

3. The study of image segmentation based on the combination of the wavelet multi‐scale edge detection and the entropy iterative threshold selection;Zhang Q.;Chin. J. Biomed. Eng.,2013

4. Model-based target recognition in pulsed ladar imagery

5. Foveal automatic target recognition using a multiresolution neural network

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