scholarly journals A Biologically Inspired Contour Detection Model Based on Multiple Visual Channels and Multi-Hierarchical Visual Information

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 15410-15422
Author(s):  
Fuzhang Li ◽  
Chuan Lin ◽  
Qing Zhang ◽  
Ruixing Wang
Sensors ◽  
2018 ◽  
Vol 18 (8) ◽  
pp. 2559 ◽  
Author(s):  
Shuai Li ◽  
Yuelei Xu ◽  
Wei Cong ◽  
Shiping Ma ◽  
Mingming Zhu ◽  
...  

Contour is a very important feature in biological visual cognition and has been extensively investigated as a fundamental vision problem. In connection with the limitations of conventional models in detecting image contours in complex scenes, a hierarchical image contour extraction method is proposed based on the biological vision mechanism that draws on the perceptual characteristics of the early vision for features such as edges, shapes, and colours. By simulating the information processing mechanisms of the cells’ receptive fields in the early stages of the biological visual system, we put forward a computational model that combines feedforward, lateral, and feedback neural connections to decode and obtain the image contours. Our model simulations and their results show that the established hierarchical contour detection model can adequately fit the characteristics of the biological experiment, quickly and effectively detect the salient contours in complex scenes, and better suppress the unwanted textures.


2019 ◽  
Vol 13 (12) ◽  
pp. 2304-2313 ◽  
Author(s):  
Chuan Lin ◽  
Fuzhang Li ◽  
Yijun Cao ◽  
Haojun Zhao

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