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Image threshold segmentation method and device based on fuzzy set and Otsu

A technology of threshold segmentation and fuzzy sets, applied in image analysis, image data processing, instruments, etc., can solve the problems of poor image segmentation and achieve good stability

Active Publication Date: 2018-09-07
HENAN NORMAL UNIV
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Problems solved by technology

[0005] The purpose of the present invention is to provide a method and device for image threshold segmentation based on fuzzy sets and Otsu, to solve the problem of poor effect when image segmentation is performed by existing methods

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  • Image threshold segmentation method and device based on fuzzy set and Otsu
  • Image threshold segmentation method and device based on fuzzy set and Otsu
  • Image threshold segmentation method and device based on fuzzy set and Otsu

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Embodiment Construction

[0079] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0080] In order to solve the problem that the traditional Otsu algorithm has inconspicuous and inaccurate segmentation effects on images containing noise and uneven illumination, an image threshold segmentation method and device based on fuzzy sets and Otsu is proposed. Firstly, a new fuzzy enhanced membership function is given based on fuzzy sets; then, Otsu’s inter-class variance is constructed using the discretization method of mean square error; finally, combined with Renyi entropy theory, weight calculation is introduced to give the Renyi entropy of the image, and then Image segmentation is done using a threshold of the maximum Renyi entropy.

[0081] According to the concept of fuzzy sets, an image with a size of M×N and a gray level of L can be expressed as an M×N fuzzy matrix as follows:

[0082]

[0083] Each element in the matrix Represents th...

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Abstract

The present invention belongs to the image segmentation field and relates to an image threshold segmentation method and device based on a fuzzy set and the Otsu. According to the method and device ofthe invention, a new fuzzy enhanced membership function is provided based on the fuzzy set; the inter-class variance of the Otsu is constructed through using a discretization method of mean square error; and with the Renyi entropy theory used in combination and weight calculation introduced, the Renyi entropy of an image is provided, and the threshold of a maximum Renyi entropy is adopted to accomplish image segmentation. Compared with a traditional threshold segmentation algorithm, the method of the invention has advantages of high edge segmentation accuracy, high robustness to noises, high stability and favorable segmentation effect, and can effectively improve the accuracy of image segmentation.

Description

technical field [0001] The invention relates to the field of image segmentation, in particular to an image threshold segmentation method and device based on fuzzy sets and Otsu. Background technique [0002] Image segmentation generally refers to dividing the image into several non-overlapping target and background regions according to the features such as grayscale, color, texture, shape and edge in the image, and making these features similar in the same region , and there are obvious differences in different regions. [0003] Among many image segmentation methods, the threshold segmentation method has become the most widely used segmentation technology in image segmentation because of its simplicity, effectiveness, low computational complexity, and stable performance. The key is how to choose the threshold in order to obtain the optimal segmentation effect. Threshold segmentation methods can be roughly divided into two categories: global threshold segmentation methods a...

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Application Information

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IPC IPC(8): G06T7/11G06T7/136
CPCG06T7/11G06T7/136
Inventor 孙林王亚文范梦雨赵明李梦莹孟新超王蓝莹殷腾宇赵婧张云萍
Owner HENAN NORMAL UNIV
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