A Contour Detection Method Based on Computational Model of Primary Visual Pathway

Abstract

The invention relates to a contour detection method on the basis of a primary visual pathway calculation model. A primary visual pathway computation model is constructed, and contour detection is realized by simulating the transmission and processing process of visual information flows. A classical receptive field direction selection model combining multi-scale features is provided, and a multi-scale feature fusion strategy is utilized to simulate the primary contour response of the retinal ganglion. In a visual pathway from the retinal ganglion to the lateral geniculate nucleus, a space-timecoding mechanism is adopted for reducing redundant features in the primary contour response. A computation model with non-classical receptive field isotropic suppression properties is provided, and bymeans of a synergistic effect of non-subsampled contourlet transform and Gabor transform, a processing effect of lateral suppression characteristics of a non-classical receptive field on texture background information is simulated; a feedforward mechanism of a primary visual pathway to the primary visual cortex is simulated, visual characteristics of multiple visual pathways are fused, and the contour response is finally obtained. According to the contour detection method, a main body contour can be effectively highlighted, and a texture background can be suppressed.

Description

technical field [0001] The invention belongs to the field of machine vision, and in particular relates to a contour detection method based on a primary visual pathway calculation model. Background technique [0002] As an effective sparse representation method of image objects, contour detection is of great significance for improving the accuracy and computational efficiency of subsequent advanced vision tasks such as object recognition and understanding. The difficulty of contour acquisition is mainly reflected in: (1) the contour information of the target is usually lost in the noise and complex background of the image; (2) even for a single target, the visual attributes such as brightness and contrast of the contour are usually not consistent as a whole sex. [0003] With the development of visual physiological experiments and neural computing, visual information processing methods based on visual mechanisms have received more and more attention. Based on the anatomical...

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Problems solved by technology

It should be pointed out that although the above algorithms take into account the multi-scale factors of space, most of them adopt a divide-and-conquer strategy on a single scale, ignoring the information correlation between various scales; The interaction of the image is simplified or avoided, which is not conducive to the effective expression of the image contour from the local to the whole

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