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An evaluation method of vitiligo leukoplakia based on image recognition
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A technology for image recognition and vitiligo, applied in image analysis, image enhancement, medical images, etc., to achieve the effect of quantifying the development of the disease
Inactive Publication Date: 2019-07-12
AFFILIATED HOSPITAL OF JIANGSU UNIV
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[0011] The problem to be solved in the present invention is aimed at the deficiencies of existing vitiligo leukoplakia evaluation methods, and provides an image recognition-based vitiligo leukoplakia evaluation method, using existing image recognition technologies such as hue calculation and color scale calculation, through certain calculations, Hierarchical leukoplakia area, using existing image recognition techniques such as two-pass scanning method and seed filling method to analyze the connected area of each layer and calculate the area of the connected area. Comparing and calculating the stratified measurement data of leukoplakia area to analyze the development of vitiligo and the trend of treatment effect, so as to realize the evaluation function of leukoplakia
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Embodiment 1
[0086] image 3 Vitiligo leukoplakia before the development of the disease, Figure 4 Vitiligo leukoplakia after 90 days of disease development.
[0087] (1) Vitiligo leukoplakia area layered measurement method image 3 Stratified processing and area measurement of vitiligo white spots
[0088] Step A1: Arrange the image acquisition environment, fix the shooting distance between the image acquisition device and the skin, the shooting distance is DP, the shooting device is perpendicular to the skin lesion surface, set a fixed resolution, the resolution is RP=102400, in pixels , the upper and lower length of the image is RPH=320, the left and right width of the image is RPW=320, keep the normal focus, and avoid blurred photos;
[0089] Step A2: Use the image acquisition device to collect images of the patient's vitiligo leukoplakia, such as image 3 As shown, the data is uploaded to the computer, and the computer stores the image pixel by pixel in the two-dimensional array o...
Embodiment 2
[0114] Figure 11 It is the picture of vitiligo white spot before treatment, Figure 12 It is the picture of vitiligo white spots after 60 days of treatment.
[0115] (1) Using stratified measurement method of vitiligo leukoplakia area Figure 11 Stratified processing and area measurement of vitiligo white spots
[0116] Steps A1-A2 are the same as in Example 1;
[0117] Step A3: Calculate the characteristic value of the two-dimensional array PIC[320][320] of the original image using the gray scale. The gray scale is an image with only one sampled color per pixel. This type of image is usually displayed from the darkest black to the brightest white grayscale. For example, the gray scale Gray=(R+G+B) / 3 is calculated, and R, G, and B are respectively the red, green, and blue component values of the original image pixels, and the characteristic two-dimensional array PICFEA[320][320 is obtained after calculation. ], where PICFEA[rph][rpw] is used to store rph, rpw position ...
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Abstract
The invention relates to an image identification based leucoderma vitiligo evaluation method, especially to a method for analyzing the change trend of the skin damage area of a vitiligo portion beforeand after treatment of a leucoderma patient via an image identification technology, belongs to the technical field of skin damage area layering and measurement, and aims at overcoming disadvantages of a present vitiligo area measurement method. The area of leucoderma vitiligo quantitatively in a novel image identification method, the area of the vitiligo and pigmentation in the surrounding is layered and analyzed statistically, and a leucoderma diagnosis and treatment effect is evaluated in a detailed way. According to the method, it is only required to shoot an image and upload the image toa computer, a system identifies the boundary of the vitiligo and the pigmentation area in the surrounding automatically, the area is layered, the area and pixel value are calculated, and the method provides convenience for evaluation by clinical doctors and guidance for leucoderma treatment.
Description
technical field [0001] The invention relates to an evaluation method based on image recognition, in particular to a method for evaluating the development of vitiligo patients and the change trend of leukoplakia area before and after treatment by using image recognition technology, and belongs to the technical field of leukoplakia evaluation of vitiligo. Background technique [0002] Vitiligo (Vitiligo) is a common acquired depigmentation skin disease. The clinical manifestations are depigmentation at the lesion site, forming white spots with clear borders. Leukoplakia varies in size and shape and can occur anywhere, but it is more common in the back of the fingers, wrist, forearm, face, neck, genitals and their surroundings. The disease is easy to diagnose but difficult to treat, and its curative effect evaluation has always been one of the issues that clinicians pay close attention to. However, various clinical classification and staging guidelines and judgment criteria us...
Claims
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