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A method and device for image threshold segmentation based on fuzzy sets and otsu

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

Active Publication Date: 2021-10-15
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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  • A method and device for image threshold segmentation based on fuzzy sets and otsu
  • A method and device for image threshold segmentation based on fuzzy sets and otsu
  • A method and device for image threshold segmentation based on fuzzy sets and otsu

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Embodiment Construction

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

[0080] In order to solve the traditional OTSU algorithm to contain noise, the irregular image segmentation effect is not obvious, inaccurate, and the image threshold segmentation method and apparatus based on fuzzy set and OTSU are proposed. First, the new fuzzy enhancement subsequent function is given based on the fuzzy set; then, the otsu's inter-space difference is constructed by the discretization method of the merged variance; finally, in combination with the renyi entropy theory, introducing the weight calculation of the renyi entropy, and then Complete image segmentation using the threshold of the maximum renyi entropy.

[0081] According to the concept of the fuzzy set, an image size of M × N, the gradation level is L, which can be expressed as the following M × N blur matrix:

[0082]

[0083] One of the elements in the matrix A grayscale x of pixels (i...

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Abstract

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. The present invention first provides a new fuzzy enhanced membership function based on fuzzy sets; then utilizes the discretization method of the mean square error to construct the inter-class variance of Otsu; finally combines the Renyi entropy theory with the introduction of weight calculation to give the Renyi entropy of the image, and then Image segmentation is done using a threshold of the maximum Renyi entropy. Compared with the traditional threshold segmentation algorithm, the present invention has better advantages in the accuracy of edge segmentation and robustness to noise, and also has good stability and segmentation effect, and can effectively improve the accuracy of image segmentation.

Description

Technical field [0001] The present invention relates to the field of image segmentation, and more particularly to an image threshold segmentation method and apparatus based on fuzzy set and OTSU. Background technique [0002] Image segmentation generally defines images into several mutually not overlapping targets and backgrounds according to characteristics such as grayscale, color, texture, shape, and edges in the image, and causes these features to present similarity in the same area. And different regions present significant differences. [0003] In numerous image segmentation methods, the threshold segmentation method has become the most widely used segmentation technology in image segmentation due to its simple and effective, low computational complexity and performance stability. Its key is how to select a threshold to obtain the optimal segmentation. The threshold segmentation method can be roughly divided into two categories: global threshold segmentation method and loca...

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Application Information

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Patent Type & Authority Patents(China)
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