Significant contour extraction method based on bilateral attention path

A prominent technology for contour extraction, applied in the fields of biological vision and image processing, which can solve the problems of inability to guarantee the detection effect of images in different scenes, missed detection of weak contours, and lack of multi-channel information correction.

Pending Publication Date: 2021-09-07
HANGZHOU DIANZI UNIV
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Problems solved by technology

It should be pointed out that the above methods must preset the deflection angle of the CRF or the control parameters of the receptive field, which cannot guarantee the detection effect of images in different scenes; and only consider the differences in contour and texture on a single viewing channel, ignoring or simplifying the The modulation ef

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  • Significant contour extraction method based on bilateral attention path
  • Significant contour extraction method based on bilateral attention path
  • Significant contour extraction method based on bilateral attention path

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Embodiment 1

[0057] Such as figure 1 A salient contour extraction method based on a bilateral attention pathway is shown, which includes the following steps:

[0058] Step (1) Simulate the color antagonism characteristics of neurons in the visual cortex, construct a single antagonism dynamic adjustment model based on local brightness features, and obtain the primary boundary response I border (x, y), (x, y) represents the horizontal and vertical coordinates of the image.

[0059] Step 1.1 For the input image I(x,y), decompose the brightness component L(x,y), and calculate the average brightness L in the H×H area with each pixel of L(x,y) as the center avg (x, y), as shown in formula (1).

[0060]

[0061] Among them, (i, j) represents the coordinates in the H×H area, and step represents the moving step size. By default, H=5 and step=3; in order to solve the boundary overflow problem, fill the boundary with the edge pixels of L(x,y) .

[0062] Then use L(x,y) and L avg (x, y), deter...

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Abstract

The invention relates to a significant contour extraction method based on a bilateral attention path. The method includes: firstly, improving a visual cortex single-antagonism receptive field model, building a local brightness feature-based single-antagonism dynamic adjustment model, and realizing joint coding of brightness and color boundaries; secondly, simulating direction sensitive characteristics of a classical receptive field, and providing an optimal azimuth interval multi-direction micro-motion method to realize refinement of direction selection; then, when a primary visual cortex signal is transmitted to a high-level visual cortex, simulating information response characteristics between dorsal flow and ventral flow, constructing a bilateral information flow interaction model, and respectively obtaining a dorsal space significant contour and ventral neuron sparse response by using a Gaussian pyramid and a sparse coding model; and finally, fusing the information of the attention paths on the two sides through a weighted fusion strategy, and enhancing a significant contour and inhibiting a texture background through information complementation among the multi-view paths.

Description

technical field [0001] The invention belongs to the field of biological vision and image processing, in particular to a salient contour extraction method based on bilateral attention pathways. Background technique [0002] Contour is an important morphological feature of image objects, which is usually lost in image noise and texture background. How to accurately extract salient contours in complex scenes is very important for subsequent computer image processing. The difficulties of salient contour extraction are mainly reflected in: (1) Under uneven illumination or weak contrast, contour information is more likely to be interfered by textures and difficult to extract; (2) In the process of highlighting contours and suppressing textures, it is difficult to ensure that a large number of textures are removed. while retaining the full profile. [0003] With the development of visual physiological experiments and computational models, visual bionic contour perception methods h...

Claims

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Application Information

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IPC IPC(8): G06T7/13G06T5/00
CPCG06T7/13G06T5/008
Inventor 范影乐许亚楠武薇
Owner HANGZHOU DIANZI UNIV
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