Unlock instant, AI-driven research and patent intelligence for your innovation.

Hand wound detection method based on wound weighted significance algorithm

A detection method, wound technology, applied in the field of image processing, can solve the problem that wound detection does not have a better effect

Pending Publication Date: 2021-09-14
EAST CHINA UNIV OF SCI & TECH
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The famous saliency algorithms include Itti algorithm based on biological model fusion feature integration theory, central-peripheral operator visual saliency detection method FT algorithm based on color features, etc. The model detects the most salient part of the MRC algorithm in the human eye, etc., but these algorithms have no good effect on the wound detection in the hand image, so the DRC saliency algorithm is proposed based on the MRC algorithm

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Hand wound detection method based on wound weighted significance algorithm
  • Hand wound detection method based on wound weighted significance algorithm
  • Hand wound detection method based on wound weighted significance algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0023] Step S1, using GrabCut technology to extract the foreground of the original image, and obtain the segmented image extracted to the hand;

[0024] Step S2, perform initial quantization on the segmentation map obtained in step S1, the quantization process is to quantize the color value of each channel in the image into 12 different values ​​in the RGB color space, and the initial quantization operator is: P:R m×n →R m×n , for each pixel of each image, the quantized color value is:

[0025]

[0026] Among them, s=1,2,...,m; t=1,2,...,n, Represents the color value of each channel of the pixel in the original image in the RGB space. Respectively represent the color channel value of each pixel in the image after quantization in RGB space; Int(.) represents the conversion from floating point to integer.

[0027] The image after primary quantization cannot meet our requirements. In order to ensure that the quantized image contains 95% of the pixels of the original image...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention provides a hand wound detection method based on wound weighted significance. Generally, the saliency effect of a saliency algorithm on an image is relatively unobvious for extraction of a special region, and many limitations exist. According to the method, GrabCut is used for foreground extraction, then initial quantification, advanced color screening, color space conversion and GB segmentation are carried out on a hand image, influence calculation of the distance between regions can be carried out in Lab space mainly in different segmentation regions, weighting of wound color features is introduced, a wound is made to be more prominent, furthermore a mobile visual focus is introduced, a real visual focus in the image is calculated, a saliency value is calculated again, and a final saliency map of the highlighted wound is obtained. A large number of experiments prove that the method is very effective for wound detection.

Description

technical field [0001] The present invention mainly relates to image processing technology, in particular to a hand wound detection method based on wound weighted saliency Background technique [0002] In recent years, with the emergence of concepts such as "smart city" and "smart kitchen", on the one hand, it reflects that people's demand for technological progress is greater than before; on the other hand, research on hands has also undergone a new development process. . Today, the smart kitchen [4] The construction of the city is also a hot spot, the reason is that people urgently want to integrate the latest technology into their daily life, and hope that their life will be "high-tech". The design concept and implementation process of the smart kitchen include five principles, which are intelligent kitchen facilities, humanized operation, low carbonization, open communication platform, and integration of dining and kitchen. The most important facility for the intellig...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/11G06T7/162G06T7/194G06K9/62
CPCG06T7/0012G06T7/194G06T7/11G06T7/162G06T2207/10024G06T2207/30088G06F18/23G06F18/22
Inventor 袁玉波车云云
Owner EAST CHINA UNIV OF SCI & TECH