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Skin rash point extraction method based on spot detection

A technology of spot detection and extraction method, applied in image data processing, instrumentation, calculation, etc., can solve the problems of skin color detection interference, light color of rash, difficulty in accurately extracting rash, etc., and achieves fast running speed, false detection rate and The effect of low missed detection rate

Inactive Publication Date: 2016-07-20
TIANJIN UNIV
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Problems solved by technology

Because rash-like skin diseases often cause redness in the normal skin area around the rash, which will greatly interfere with skin color detection, and some rashes are lighter in color, which is close to skin color and difficult to distinguish. Interference factors, so it is difficult to accurately extract rash spots only by color features

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  • Skin rash point extraction method based on spot detection
  • Skin rash point extraction method based on spot detection
  • Skin rash point extraction method based on spot detection

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Embodiment Construction

[0023] In order to further illustrate the present invention, below in conjunction with appendix figure 1 flow chart and attached figure 2 The implementation example of the diagram gives a concrete example.

[0024] figure 2 Shown is an image of a typical rash of skin. Factors that interfere with the extraction of eruptions include reddened skin areas around some eruptions, light shadows, and natural skin protrusions.

[0025] frame of reference figure 1 Shown flow process, the specific skin rash point extraction process of the present invention is described as follows:

[0026] Step 1: Yes figure 2 The input image shown is preprocessed for denoising. Use the skin color detection algorithm based on RGB color space to detect the skin color area and non-skin color area in the image. The skin color detection discriminant formula is as follows:

[0027] [y j (1)>95&&y j (2)>40&&y j (3)>20&&y j (1)-y j (3)>15&&y j (1)-y j (2)>15]

[0028] ||[y j (1)>200&&y j (2)...

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Abstract

The invention relates to a skin rash point extraction method based on spot detection. The method comprises the following steps: preprocessing an input skin image, and detecting a skin color area and a non skin color area in the image; counting respective color mean values of three component values of the skin color area in the skin image in an RGB space; detecting spots; dividing the spots into spots close to a skin color and spots greatly differing from the skin color; integrating the spots close to the skin color with a skin RGB distribution range to form a new skin color mean value; calculating a color mean value for the spots greatly differing from the skin color, and taking the color mean value as a typical rash point RGB color mean value; and generating a weight color spatial distance function for determining rash points / skin. The method provided by the invention has the advantages of fast operation speed and low false detecting rate and miss rate.

Description

technical field [0001] The invention relates to the field of image recognition of artificial intelligence, in particular to a method for extracting rash targets in skin images based on speckle detection. Background technique [0002] With the continuous development of computer vision technology, image processing technology is used in various fields. Computer diagnosis is one of the important application cases. Due to its automatic and fast characteristics, it can greatly improve the efficiency of diagnosis and is regarded as the development direction of medical diagnosis in the future. Considering that the diagnosis of skin diseases is mainly through the observation of skin surface symptoms, the automatic diagnosis process of skin diseases can be realized through computer vision technology. How to accurately extract the lesion area in the skin image is an important process to realize the diagnosis of computer skin diseases, which is helpful to analyze the number, distributi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/40
CPCG06T7/0012G06T2207/30088
Inventor 王昇刘开华马永涛
Owner TIANJIN UNIV
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