Watershed and seed filling-based skin image spot assessment method and system

A skin image and watershed technology, applied in image enhancement, image analysis, image data processing, etc., can solve the problems of many pseudo-spot pixels, affecting the accuracy of quantitative evaluation, and indicators cannot be calculated

Active Publication Date: 2020-10-02
BEIJING TECHNOLOGY AND BUSINESS UNIVERSITY +1
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Problems solved by technology

Computer image methods to detect speckles have been proposed in recent years. The main idea is to perform simple threshold segmentation on the color value of each pixel in RGB (or HSV) color space to obtain speckle pixels. This method has many pseudo speckle pixels, which affects the accuracy of quantitative evaluation; It is only the study of pixels, without the concepts of lines and planes, resulting in the inability to calculate many indicators, such as the number of spots, the distance between spots, etc.

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  • Watershed and seed filling-based skin image spot assessment method and system
  • Watershed and seed filling-based skin image spot assessment method and system
  • Watershed and seed filling-based skin image spot assessment method and system

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Embodiment Construction

[0084] Below in conjunction with accompanying drawing, further illustrate the present invention through embodiment, but do not limit the scope of the present invention in any way.

[0085] The present invention provides a method for quantitatively evaluating skin image spots based on watershed and seed filling algorithms. According to the skin image RGB color space pixel color value information, the skin macro digital image with the same resolution is processed to calculate the number of surface spots in the skin image. An attribute eigenvalue, the attribute eigenvalue is the quantitative value of multiple attribute indicators to measure the spots of a skin image, the value can identify the spot features on the skin surface of the macro image, thereby realizing the quantitative evaluation of the spots of the skin image. It mainly includes the following steps:

[0086] 1) Recombine three different color components in the RGB color space of the skin image to obtain a grayscale i...

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Abstract

The invention discloses a watershed and seed filling algorithm-based skin image spot quantitative evaluation method and system. The system comprises skin image acquisition hardware equipment, a computer server and a mobile phone client; and, according to the RGB color space pixel color value information of the skin image, attribute characteristic values such as the size, the distance, the number,the darkness and the proportion of a skin image spot are calculated, multiple attribute values of the skin image spot are quantitatively calculated, and evaluation of the skin spot attribute is achieved. The method and the system are high in spot detection accuracy and high in spot detection speed, and have a good market application prospect and good market application value.

Description

technical field [0001] The invention relates to skin spot detection and evaluation technology, in particular to a skin image spot quantitative evaluation method and system based on watershed and seed filling algorithms, belonging to the technical fields of computer graphics and skin image processing applications. Background technique [0002] The state of various properties of the skin surface is an important indicator for skin aging and anti-aging research, and it is also one of the important indicators for the objective evaluation of skin care products. The objective and quantitative detection and calculation of skin images is one of the research hotspots in the field of skin image processing. One of the important applications is the quantitative evaluation and calculation of skin surface spots. [0003] At present, the accuracy of skin surface state detection and attribute index calculation at home and abroad is not very high. There are mainly two directions of machine le...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/12G06T7/136G06T7/187G06T7/62G06T5/30
CPCG06T7/0012G06T7/12G06T7/136G06T7/187G06T7/62G06T5/30G06T2207/10024G06T2207/20101G06T2207/30088
Inventor 刘迎邱显荣张珣
Owner BEIJING TECHNOLOGY AND BUSINESS UNIVERSITY
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