Cuckoo search-based underground mine image enhancement method

Abstract

The invention discloses a cuckoo search-based underground mine image enhancement method, which adopts a cuckoo search algorithm in combination with a BGDPH algorithm provided by the invention to perform enhancement processing on an image, and comprises the following steps of: converting the underground mine image into an HSV color space, and performing adaptive nonlinear stretching processing on asaturation component S, initializing cuckoo search algorithm parameters and population and performing BGDPH algorithm processing on a brightness component V at each bird nest position to obtain an intermediate image, calculating the fitness value of the bird nest through the weighted fusion of the entropy value, the brightness difference value and the gray scale standard deviation of the intermediate image, iteratively updating the optimal bird nest position in a Levy flight regularization mode, and substituting the final optimal position into the BGDPH algorithm to enhance the component V, and finally, converting the HSV image back to the RGB space to obtain a final enhanced image. Compared with other methods, the method is good in image enhancement effect, and the visual effect of the underground mine image is obviously improved.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to an image enhancement method for underground mines based on cuckoo search. Background technique [0002] Since the vigorous development of the coal industry in 2001, the number of coal mining enterprises and coal production have been increasing year by year, but the mine safety situation is quite severe, and large accidents occur frequently, which bring huge losses to the social economy. Of course, there are many reasons for these accidents, but one of the main reasons is that the coal mine environmental control measures have not been used correctly. Therefore, when environmental conditions change, relevant personnel cannot timely and correctly evaluate and discover dangers from the images captured by the video surveillance system, and then quickly report to relevant personnel, which eventually leads to disasters. Therefore, in coal mine production, it is nec...

AI Technical Summary

Problems solved by technology

[0004] Aiming at the technical problem that the existing method cannot take into account both global brightness enhancement and detail information enhancement, resulting in an unsatisfactory image enhancement effect, the present invention proposes a mine underground image enhancement method based on cuckoo search, which combines swarm intelligence technology with improved image enhancement Combining technology, the image is converted to HSV color space, the H component is kept unchanged, the S component is subjected to adaptive non-linear stretching processing, and the V component is adopted with the cuckoo search algorithm combined with double gamma transformation and double platform in the present invention The advantages of histogram equalization The proposed BGDPH method performs adaptive processing, and combines the image gray standard variance, entropy value and brightness difference to construct an evaluation function, and continuously optimizes in a regular way to find the optimal parameter value. Enhanced underground images

Images