Edge detection method based on visual neural pathway
An edge detection and optic nerve technology, applied in the field of optic nerve pathway, can solve the problem of lack of edge detection algorithm that conforms to the human visual mechanism.
Active Publication Date: 2020-01-21
XI'AN POLYTECHNIC UNIVERSITY
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[0005]
The purpose of the present invention is to provide a kind of edge detection method based on visual neural pathway, which solves the problem of the lack of edge detection algorithm in line with human vision mechanism in the prior art
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[0068] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.
[0069] A kind of edge detection method based on visual nerve pathway of the present invention, such as figure 1 As shown, the specific steps are as follows:
[0070] Step 1. Establish a sensory mechanism model of the retina to simulate the response of the retina to image information;
[0071] Step 2, establish the sensory mechanism model of the lateral knee body, and simulate the response of the lateral knee body to the picture information;
[0072] Step 3, establish the sensory mechanism model of the V1 area of the cerebral cortex, and simulate the detection of the edge contour in the V1 area of the cerebral cortex;
[0073] Step 4, combining the models established in steps 1 to 3 to generate an edge detection model based on the visual neural pathway, simulating the edge detection output of the visual neural pathway.
[0074] Through ...
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The invention discloses an edge detection method based on a visual neural pathway, and the method comprises the steps: carrying out modeling of a visual neural pathway signal propagation process and an edge recognition process of biological research, and obtaining an edge detection image which accords with the feeling of a human eye. The method comprises the following steps: firstly, establishinga retina feeling mechanism model, and simulating response of retina to picture information; secondly, establishing a feeling mechanism model of the cerebral cortex V1 region, and simulating the detection of the cerebral cortex V1 region on the edge contour; then, establishing a feeling mechanism model of the cerebral cortex V1 region, and simulating the detection of the cerebral cortex V1 region on the edge contour; and finally, combining the three models to generate an edge detection model based on the visual neural pathway, and simulating edge detection output of the visual neural pathway. According to the edge detection method based on the visual neural pathway, retina, side knee bodies and cerebral cortex V1 regions are modeled respectively, a human eye visual mechanism is fused into edge detection, and an edge detection effect more conforming to human eye observation characteristics can be obtained.
Description
technical field [0001] The invention belongs to the technical field of visual neural pathways, and in particular relates to an edge detection method based on visual neural pathways. Background technique [0002] As the basic work of digital image processing and computer vision, an edge in an image is defined as a step change (color change or grayscale change) of a pixel and its neighborhood in a specific direction, and edge detection is through a specific algorithm. These significantly changed pixels are marked to provide key information for subsequent image processing. [0003] Image edge detection greatly reduces the amount of data contained in the image, eliminates redundant and irrelevant information, and retains the important contour attributes of the image, thus providing high-level computer vision applications such as target recognition and image understanding. valid information. Therefore, how to accurately detect the edge in the image has become an important resea...
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IPC IPC(8): G06T7/00G06T7/13G16H50/50
CPCG06T7/0012G06T7/13G16H50/50G06T2207/30041G06T2207/10024
Inventor 师昕赵雪青陈惠娟
Owner XI'AN POLYTECHNIC UNIVERSITY