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Sensors 2018, 18(8), 2559; https://doi.org/10.3390/s18082559

Biologically Inspired Hierarchical Contour Detection with Surround Modulation and Neural Connection

1,†
,
1,2,†,* , 1
,
1
,
1
and
3
1
Aeronautical Engineering College, Air Force Engineering University, Xi’an 710038, China
2
Unmanned System Research Institute, Northwestern Polytechnical University, Xi’an 710072, China
3
School of Electronics and Information, Northwestern Polytechnical University, Xi’an 710072, China
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Received: 21 June 2018 / Revised: 1 August 2018 / Accepted: 1 August 2018 / Published: 4 August 2018
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Abstract

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. View Full-Text
Keywords: contour detection; hierarchical biological vision; surround modulation; receptive field; neural connection contour detection; hierarchical biological vision; surround modulation; receptive field; neural connection
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Li, S.; Xu, Y.; Cong, W.; Ma, S.; Zhu, M.; Qi, M. Biologically Inspired Hierarchical Contour Detection with Surround Modulation and Neural Connection. Sensors 2018, 18, 2559.

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