Biologically Inspired Hierarchical Contour Detection with Surround Modulation and Neural Connection
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 propose...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2018-08-01
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| Series: | Sensors |
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| Online Access: | http://www.mdpi.com/1424-8220/18/8/2559 |
| _version_ | 1811302257085382656 |
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| author | Shuai Li Yuelei Xu Wei Cong Shiping Ma Mingming Zhu Min Qi |
| author_facet | Shuai Li Yuelei Xu Wei Cong Shiping Ma Mingming Zhu Min Qi |
| author_sort | Shuai Li |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-13T07:24:49Z |
| format | Article |
| id | doaj.art-7af3b074289c45e3a129c0b209e7f2aa |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-13T07:24:49Z |
| publishDate | 2018-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-7af3b074289c45e3a129c0b209e7f2aa2022-12-22T02:56:30ZengMDPI AGSensors1424-82202018-08-01188255910.3390/s18082559s18082559Biologically Inspired Hierarchical Contour Detection with Surround Modulation and Neural ConnectionShuai Li0Yuelei Xu1Wei Cong2Shiping Ma3Mingming Zhu4Min Qi5Aeronautical Engineering College, Air Force Engineering University, Xi’an 710038, ChinaAeronautical Engineering College, Air Force Engineering University, Xi’an 710038, ChinaAeronautical Engineering College, Air Force Engineering University, Xi’an 710038, ChinaAeronautical Engineering College, Air Force Engineering University, Xi’an 710038, ChinaAeronautical Engineering College, Air Force Engineering University, Xi’an 710038, ChinaSchool of Electronics and Information, Northwestern Polytechnical University, Xi’an 710072, ChinaContour 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.http://www.mdpi.com/1424-8220/18/8/2559contour detectionhierarchical biological visionsurround modulationreceptive fieldneural connection |
| spellingShingle | Shuai Li Yuelei Xu Wei Cong Shiping Ma Mingming Zhu Min Qi Biologically Inspired Hierarchical Contour Detection with Surround Modulation and Neural Connection Sensors contour detection hierarchical biological vision surround modulation receptive field neural connection |
| title | Biologically Inspired Hierarchical Contour Detection with Surround Modulation and Neural Connection |
| title_full | Biologically Inspired Hierarchical Contour Detection with Surround Modulation and Neural Connection |
| title_fullStr | Biologically Inspired Hierarchical Contour Detection with Surround Modulation and Neural Connection |
| title_full_unstemmed | Biologically Inspired Hierarchical Contour Detection with Surround Modulation and Neural Connection |
| title_short | Biologically Inspired Hierarchical Contour Detection with Surround Modulation and Neural Connection |
| title_sort | biologically inspired hierarchical contour detection with surround modulation and neural connection |
| topic | contour detection hierarchical biological vision surround modulation receptive field neural connection |
| url | http://www.mdpi.com/1424-8220/18/8/2559 |
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