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A Color Image Threshold Segmentation Method Based on Lab Space

A technology of color image and threshold segmentation, which is applied in the field of image processing, can solve the problems of unfavorable image segmentation robustness, and achieve the effect of improving accuracy and robustness

Active Publication Date: 2018-11-13
北京天航华创科技股份有限公司
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

The RGB value of the same color is in different positions. Due to the change of light intensity, the image will change greatly. The RGB color model is easily affected by the light intensity, which is not conducive to the robustness of image segmentation.

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  • A Color Image Threshold Segmentation Method Based on Lab Space
  • A Color Image Threshold Segmentation Method Based on Lab Space
  • A Color Image Threshold Segmentation Method Based on Lab Space

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Embodiment Construction

[0015] The invention provides a color image threshold segmentation method based on Lab space. The technical solution adopted is: firstly convert the color image to be color and the known background color image into the Lab space, separate the brightness L, and perform grayscale image difference on the ab channel to obtain two background difference images, and then perform OSTU respectively. The threshold segmentation method performs region segmentation on the grayscale image, extracts closed and connected image regions, and obtains two optimal thresholds, performs binarization processing and merges the results of the two segmentations, and finally performs certain regions on the obtained regions. Morphological filtering to get the final segmentation result.

[0016] For ease of understanding, a brief introduction to the OSTU threshold segmentation method, image binarization and morphological filtering is given first:

[0017] The OSTU threshold segmentation method (Otsu metho...

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Abstract

The invention discloses a color image threshold segmentation method. According to the method, an RGB color image is converted into Lab space for image segmentation to separate the brightness L, and OSTU threshold segmentation is conducted on a color channel a and a color channel b; the color features of foreground images of different types are considered, and the method is suitable for color image segmentation on an illumination change occasion and improves the accuracy and robustness of color image segmentation.

Description

technical field [0001] The invention belongs to the field of image processing, and relates to a color image segmentation method, in particular to a color image threshold segmentation method based on Lab space. Background technique [0002] Image segmentation refers to the process of dividing an image into non-overlapping and self-connected image components according to similar and uniform criteria. It is a key step from image processing to image analysis. The quality of image segmentation largely determines the Effect of subsequent image analysis. Color images provide richer information than grayscale images. To segment color images, it is necessary not only to choose a suitable color space, but also to use a segmentation algorithm suitable for this space. [0003] There are many classifications of color image segmentation algorithms, such as histogram threshold method, region method, spatial clustering method, wavelet transform method, genetic algorithm and so on. Among t...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/136G06T7/11G06T7/194G06T7/187
CPCG06T7/11
Inventor 李保国
Owner 北京天航华创科技股份有限公司