Medical endoscope image enhancement method based on mathematical morphology

A mathematical morphology and image enhancement technology, applied in image enhancement, image analysis, image data processing, etc., can solve the problems of image color distortion, without considering the correlation of color images, etc., to achieve prominent outlines and details, bright colors, and avoid The effect of image noise

Pending Publication Date: 2020-07-24
NANJING TUGE HEALTHCARE CO LTD
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Problems solved by technology

Such as the document "Adaptive color image enhancement based on multi-scale top-hat transformation [J]", Jing Jing, Zhang Guicang, Liu Yanni. Computer Engineering and Science, 2017,39(07):1317-1321. In the RGB space, a Based on the top-hat algorithm of mathematical morphology, the color image enhancement method takes the weight ratio of the standard deviation of each component as the regulation factor. While this method can significantly improve the contrast of the color image, it also has obvious shortcomings, that is, it does not consider the color image R, The correlation of the three channels of G and B, treating the images of the three color channels as unconnected independent images will cause serious color distortion in the enhanced image

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  • Medical endoscope image enhancement method based on mathematical morphology
  • Medical endoscope image enhancement method based on mathematical morphology
  • Medical endoscope image enhancement method based on mathematical morphology

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[0046] The present invention will be further described below in conjunction with the accompanying drawings and specific preferred embodiments.

[0047] Such as figure 1 Shown, a kind of medical endoscope image enhancement method based on mathematical morphology is characterized in that: realize medical endoscope image enhancement based on HSI and morphological filtering, its specific steps are as follows:

[0048] Step 1, read the original image, and convert the color space of the image into the HIS color space;

[0049] Use the camera module of the endoscope to collect color image data, such as figure 2 As shown, then, read the color image data to be processed and map it to the RGB color space, that is, the pixels of the color image are represented by the vectors of the color space, and each color vector has red, green, and blue corresponding to R, G, B three color component representation. Finally, convert the image from RGB color space to HIS color space. The RGB color...

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Abstract

The invention relates to a medical endoscope image enhancement method based on mathematical morphology, which realizes medical endoscope image enhancement based on HSI and morphological filtering, andcomprises the following specific steps: step 1, reading an original image, and converting a color space of the image into an HIS color space; step 2, keeping the hue H and saturation S of the image unchanged, and performing morphological filtering on the brightness I to realize brightness detail enhancement; and step 3, converting the processed image pixel value from the HIS color space to the RGB color space. According to the method, the brightness component of the color medical endoscope image can be properly enhanced, compared with the original image and the enhanced effect, the contour and details are more prominent, the image is clear, the color is bright, and introduction of excessive image noise is basically avoided.

Description

technical field [0001] The invention relates to the technical field of image processing algorithms, in particular to a method for enhancing medical endoscope images based on mathematical morphology. Background technique [0002] In minimally invasive surgery, doctors need to make a diagnosis based on endoscopic images, and the quality of endoscopic images plays an important role in medical diagnosis. However, the color images collected by the medical endoscope imaging system will inevitably degrade and degrade during the acquisition process. In order to improve the display effect of the image, suppress noise, and highlight the useful details in the image, it needs to be enhanced. , making it more suitable for doctors to observe and make a diagnosis. [0003] Medical endoscopic images are very sensitive to noise. Traditional image enhancement algorithms often enhance the edge and detail information of the image, but also inevitably amplify the noise in the image. Therefore,...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06T5/30G06T7/00G06T7/44
CPCG06T5/007G06T5/30G06T7/0012G06T2207/10068G06T2207/20036G06T7/44
Inventor 黄新俊杨晨彬张开兵
Owner NANJING TUGE HEALTHCARE CO LTD
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