A method of image enhancement and segmentation

Abstract

The invention discloses an image enhancement and segmentation method, comprising the following steps: 1. Image enhancement: through a processor and using an image enhancement method based on fuzzy logic, the image to be processed is enhanced. The process is as follows: i. Transform to the fuzzy domain: according to the membership function, map the gray value of each pixel of the image to be processed into the fuzzy membership degree of the fuzzy set; ii, use the fuzzy enhancement operator in the fuzzy domain to perform fuzzy enhancement processing; iii, use the fuzzy domain Inverse transformation to the image domain; 2. Image segmentation: Segment the enhanced digital image, that is, the image to be segmented, according to the image segmentation method based on two-dimensional fuzzy partition maximum entropy. The method of the invention has simple steps, reasonable design, convenient implementation, good processing effect, high practical value, and can complete image enhancement and segmentation processes simply, quickly and with high quality.

Description

Technical field [0001] The invention belongs to the technical field of image processing, and particularly relates to an image enhancement and segmentation method. Background technique [0002] Fire is one of the major disasters in mines, which seriously threatens human health, the natural environment and the safe production of coal mines. With the advancement of science and technology, automatic fire detection technology has gradually become an important means of monitoring and fire warning. Nowadays, in underground coal mines, fire prediction and detection mainly focus on monitoring the temperature effect of fire, combustion products (the effect of smoke and gas), and electromagnetic radiation effects. However, the above-mentioned existing detection methods are sensitive and reliable. All have yet to be improved, and they cannot respond to early fires, so they are no longer compatible with increasingly stringent fire safety requirements. Especially when there are obstructions ...

AI Technical Summary

Problems solved by technology

However, with the improvement of segmentation performance, the dimension of the solution space of the problem increases from the original two-dimensional to four-dimensional, and the amount of calculation increases exponentially. long, affecting practical

Therefore, it is difficult for the existing one-dimensional maximum entropy method to take into account both grayscale information and spatial information when segmenting, so that image segmentation often contains many isolated points or isolated areas, which brings difficulties to subsequent image classification and pattern recognition, and affects to the correct detection rate

The maximum entropy segmentation method based on two-dimensional fuzzy partition utilizes the gray level information and spatial neighborhood information of the image, and takes into account the fuzziness of the image itself, but has the disadvantage of slow operation speed.

[0006] In summary, there is a lack of an image enhancement and segmentation method with simple steps, reasonable design, convenient implementation, good processing effect, and high practical value, which can complete the image enhancement and segmentation process easily, quickly and with high quality

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