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Color image segmentation method and system

A color image and image technology, applied in the image segmentation method and system field of fusion area information and edge detection, to achieve the effect of overcoming application limitations, improving accuracy, and clear and complete image outline

Inactive Publication Date: 2010-04-28
SHENZHEN SKYWORTH DIGITAL TECH CO LTD
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Problems solved by technology

[0008] The present invention proposes an image segmentation method and system for fusing area information and edge detection. By using an operator threshold determination scheme combining an adaptive strategy and an empirical value, the existing application limitations of selecting operator threshold parameters through empirical values ​​are solved. To solve the technical problems, the outline of the segmented image is clearer and more complete

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  • Color image segmentation method and system

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Embodiment Construction

[0033] The technical scheme adopted in the present invention is: first convert the color image into a grayscale image, utilize the Otsu threshold value segmentation method to carry out region segmentation on the grayscale image, extract the contour of the closed and connected segmented image and determine an optimal threshold value, the The threshold is used as the upper threshold of the Canny operator in the next step; the edge map of the original gray image is extracted using the Canny operator; the obtained area contour map and edge map are fused according to certain criteria to obtain the final segmentation result.

[0034] For ease of understanding, a brief introduction to the Otsu threshold segmentation method and the Canny operator is given first.

[0035] OTSU-Maximum inter-class variance was proposed by Japanese scholar Otsu (OTSU) in 1979. It is an adaptive threshold determination method, also called Otsu method, OTSU for short. It divides the image into two parts, t...

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Abstract

The invention discloses a color image segmentation method, which comprises the following steps: processing an image to be segmented into a gray image; extracting a region profile map from the gray image by an Otsu threshold segmentation method, and determining an optimal threshold; taking the optimal threshold as a high threshold of a Canny operator, and extracting an edge map from the gray image by utilizing the Canny operator; and fusing the area profile map and the edge map, and outputting a segmentation result of a color image. The method adopts an operator threshold determining scheme combined with an adaptive strategy and an empirical value and overcomes the defect that an empirical value selecting method has application limitation; the local change intensity of a gray value is obtained through edge detection, so that over-segmentation of avoidable areas is limited; and residual edges are complemented through region segmentation, so that profiles of images after the segmentation are more clear and complete.

Description

technical field [0001] The invention relates to digital image processing technology, in particular to an image segmentation method and system for fusing area information and edge detection. Background technique [0002] Image segmentation is the basis of image analysis, recognition and understanding, and is a key step from image processing to image analysis. Image segmentation is the process of dividing an image into several disjoint small regions, which are connected sets of pixels with common attributes in a certain sense. Connectivity means that there is a connected path between any two points in the set that completely belongs to the set. For discrete images, connectivity can be divided into four-connectivity and eight-connectivity. Four-connected means that starting from a point in the area, you can move in four directions up, down, left, and right in the area to reach any pixel position in the area; eight-connected means starting from a point in the area, you can mov...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
Inventor 刘斌
Owner SHENZHEN SKYWORTH DIGITAL TECH CO LTD
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