Infrared image segmentation method based on Otsu and improved Bernsen

An infrared image and image technology, applied in image analysis, image enhancement, image data processing, etc., can solve the problems of missing edges and slow operation speed, and achieve the effects of reducing noise points, improving efficiency and accuracy, and strong stability

Active Publication Date: 2020-08-28
XI'AN POLYTECHNIC UNIVERSITY
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Problems solved by technology

[0005] The purpose of the present invention is to provide an infrared image segmentation method based on Otsu and improved Bernsen, which solves the problem of edge loss and calculation caused by forced binarization when segmenting images in the prior art. slowness problem

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  • Infrared image segmentation method based on Otsu and improved Bernsen
  • Infrared image segmentation method based on Otsu and improved Bernsen
  • Infrared image segmentation method based on Otsu and improved Bernsen

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Embodiment Construction

[0053] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0054] The present invention is based on Otsu and improved Bernsen's infrared image segmentation method, as figure 1 As shown, the specific steps are as follows:

[0055] Step 1, perform contrast expansion transformation preprocessing on the input image, and the preprocessed image satisfies histogram equalization;

[0056] Specifically, assuming that the size of the input image I is M×N, the gray value of the image I at the point (i, j) is f(i, j), and the contrast of the original image is expanded, the wider the gray range, the image The higher the contrast, the clearer the corresponding image. The preprocessing process is shown in formulas (1), (2) and (3);

[0057] A=min[f(i,j)] (1);

[0058] B=max[f(i,j)] (2);

[0059]

[0060] In the formula, A is the minimum gray value of the image, B is the maximum gray value of the image, g(i, j)...

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Abstract

The invention discloses an infrared image segmentation method based on Otsu and improved Bernsen, and the method specifically comprises the steps: firstly carrying out the contrast extension transformation preprocessing of an inputted original image, wherein the preprocessed image meets the histogram equalization; calculating a segmentation threshold GT by adopting an Otsu method, and segmenting the image into a background region and a target region; performing Gaussian smoothing filtering on g (i, j) in the target area in a (2w + 1) * (2w + 1) window; pre-judging whether the contrast in a local window of the image exceeds a threshold range or not by adopting an improved Bernsen method to obtain a threshold T (i, j) of the image; and finally, performing point-by-point binarization on the image by using T (i, j) to obtain a binarized image b (i, j). According to the method, the problem that over-segmentation occurs when an Otsu method is used for processing images with uneven illumination and complex backgrounds is solved; the problems of serious image noise and edge loss after segmentation caused by forced binarization of a Bernsen method are overcome, and the two methods are combined to improve the efficiency and accuracy of image segmentation.

Description

technical field [0001] The invention belongs to the technical field of image segmentation and relates to an infrared image segmentation method based on Otsu and improved Bernsen. Background technique [0002] In the online monitoring system of electrical equipment, the quality of infrared image segmentation directly affects the accuracy of electrical equipment fault diagnosis. In order to detect abnormal overheating and other fault states of electrical equipment as early as possible, research on infrared image segmentation algorithm for electrical equipment fault analysis and diagnosis are of great importance. The method of image segmentation is used to process the infrared image of electrical equipment, which can separate the image of electrical equipment from the background image, extract it from the background image, and conduct separate analysis and judgment. At present, the segmentation methods that have been studied more maturely and applied more include threshold-bas...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/11G06T7/136G06T7/194G06T5/40G06T5/00
CPCG06T7/11G06T7/136G06T7/194G06T5/40G06T5/002G06T2207/10048
Inventor 李云红罗雪敏李传真姚兰朱绵云穆兴
Owner XI'AN POLYTECHNIC UNIVERSITY
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