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| Title: | Line detection using a biologically-motivated, continuous-time, feedback system based on the visual cortex: Part I |
| Author (s): | Woodley, Robert Acar, Levent |
| Department/Lab Affiliations: | Electrical and Computer Engineering |
| Keywords: | Gabor filters bandwidth brain data reduction feedback image processing integral transforms integration line detection mathematical transformations sensitivity analysis visual cortex |
| Issue Date: | 2003 |
| Publisher: | American Society of Mechanical Engineers ASME |
| Citation: | Woodley, Robert and Levent Acar. "Line detection using a biologically-motivated, continuous-time, feedback system based on the visual cortex: Part I." Intelligent Engineering Systems Through Artificial Neural Networks (ANNIE 2003), Vol. 13, 2003: 69-74. |
| Abstract: | The visual cortex is a well studied structure in the brain. Numerous laboratory tests have produced a wealth of data concerning the input-output behavior of the cortex. One of the main functions of the cortex is to detect lines in the visual image. Many theories as to how the cortex performs this task have been proposed. What we have done is to take several of these theories and combine them with the concept of a continuous-time, feedback system. Our results show that the orientation and length of the lines in an image can be detected using our system. This article is part one of two and covers the main detection engine consisting of Gabor filters used as the kernel of an integral transform. |
| Type: | Article - Conference proceedings text |
| In Title: | Intelligent Engineering Systems Through Artificial Neural Networks |
| Copyright Notice: | This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. Pre-print: author cannot archive; Post-print: author cannot archive; FULL COPYRIGHT INFORMATION: |
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| title | Line detection using a biologically-motivated, continuous-time, feedback system based on the visual cortex: Part I |
| contributor.author | Woodley, Robert |
| contributor.author | Acar, Levent |
| contributor.deptlab | Electrical and Computer Engineering |
| subject | Gabor filters |
| subject | bandwidth |
| subject | brain |
| subject | data reduction |
| subject | feedback |
| subject | image processing |
| subject | integral transforms |
| subject | integration |
| subject | line detection |
| subject | mathematical transformations |
| subject | sensitivity analysis |
| subject | visual cortex |
| date.issued | 2003 |
| publisher | American Society of Mechanical Engineers ASME |
| identifier.citation | Woodley, Robert and Levent Acar. "Line detection using a biologically-motivated, continuous-time, feedback system based on the visual cortex: Part I." Intelligent Engineering Systems Through Artificial Neural Networks (ANNIE 2003), Vol. 13, 2003: 69-74. |
| identifier.pub.URI | |
| description.abstract | The visual cortex is a well studied structure in the brain. Numerous laboratory tests have produced a wealth of data concerning the input-output behavior of the cortex. One of the main functions of the cortex is to detect lines in the visual image. Many theories as to how the cortex performs this task have been proposed. What we have done is to take several of these theories and combine them with the concept of a continuous-time, feedback system. Our results show that the orientation and length of the lines in an image can be detected using our system. This article is part one of two and covers the main detection engine consisting of Gabor filters used as the kernel of an integral transform. |
| type | Article - Conference proceedings |
| type.DCMIType | text |
| relation.isPartOf | Intelligent Engineering Systems Through Artificial Neural Networks |
| rights | This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. |
| rights | Pre-print: author cannot archive; Post-print: author cannot archive; |
| rights.URI | |
| rights.URI | |
| identifier.persist.URI | |
| date.available | 2009-04-15T19:23:40Z |