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Shadow detection method based on color constancy feature and visual attention mechanism

A technology of visual attention mechanism and color constancy, which is applied in image data processing, instrumentation, computing, etc., to improve the effect and avoid the effect of noise

Active Publication Date: 2018-04-03
HOHAI UNIV
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  • Application Information

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Problems solved by technology

In each type of method, researchers have proposed different ideas and specific implementation algorithms. According to the research results, each type of method has its own advantages and disadvantages. Therefore, so far there is no robust and general shadow detection. method

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  • Shadow detection method based on color constancy feature and visual attention mechanism
  • Shadow detection method based on color constancy feature and visual attention mechanism
  • Shadow detection method based on color constancy feature and visual attention mechanism

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Embodiment Construction

[0078] The present invention will be specifically introduced below in conjunction with the accompanying drawings and specific embodiments.

[0079] The original image used in the present invention is an RGB true color image, denoted as Img. Among them, the three channels of red, green, and blue are recorded as R, G, and B respectively; the position of the pixel is represented by row and column numbers, for example, the pixel in row y and column x of the image Img is recorded as Img[y,x].

[0080] (1) The luminance feature (luminance) is extracted from the original Img, which is denoted as Lum.

[0081] Specifically: first extract the grayscale image of the original image, such as figure 1 As shown, then the logarithmic reciprocal of the grayscale image is used as the lum feature, such as figure 2 As shown, the calculation formula is as follows:

[0082] Gray=(R+G+B) / 3

[0083] Lum=1.0 / [5+log(Gray+1)]

[0084] Among them, Gray represents the average value of R, G, and B c...

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Abstract

The invention discloses a variety of color invariance features based on shadows, introduces a visual attention mechanism in the field of computer vision, and proposes a new and effective shadow detection method, which has the following beneficial effects: 1) According to the research results of color constancy , extracting a variety of color invariant features of the shadow, using the feature saliency graph model in the visual attention model, combining multiple shadow features together to generate a shadow saliency map as the basic data for shadow detection, and then performing shadow detection based on this data ; 2) The SLIC algorithm is used to perform superpixel segmentation on the image, and an object-based adaptive threshold growth algorithm is proposed to correct the preliminary results of shadow detection, so as to obtain more complete shadow detection results.

Description

technical field [0001] The invention relates to a shadow detection method based on the color constancy characteristics of shadows on a color image and a visual attention mechanism, belongs to the technical field of digital image processing and target recognition, and can be used for shadow detection of ground objects on color photos and remote sensing images. Background technique [0002] The shadow of ground objects is an inevitable phenomenon in natural photos, videos and remote sensing images, but the existence of shadows will bring many difficulties to computer vision tasks, often causing errors in image segmentation, edge detection and object recognition. Therefore, shadow detection is currently a research hotspot in the field of image processing and computer vision, and it is also a difficult problem. In shadow detection, it is mainly divided into two categories: video-based dynamic image shadow detection and single image-based static image shadow detection. . Because...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/11G06T7/187
Inventor ้™ˆไปๅ–œ
Owner HOHAI UNIV