Light adaptation human skin colour detection method

A skin color detection and self-adaptive technology, applied to instruments, character and pattern recognition, computer components, etc., can solve problems such as easy introduction of noise and color distortion, and achieve the effect of improving detection accuracy, improving accuracy, and reducing noise interference

Inactive Publication Date: 2013-02-13
BEIJING JIAOTONG UNIV
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Aiming at the deficiencies of color distortion and easy introduction of noise in the existing methods mentioned in the above background technology in the process of skin color detection, the present invention proposes an illumination-adaptive human skin color detection method

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
  • Light adaptation human skin colour detection method
  • Light adaptation human skin colour detection method
  • Light adaptation human skin colour detection method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0049] The preferred embodiments will be described in detail below in conjunction with the accompanying drawings. It should be emphasized that the following description is only exemplary and not intended to limit the scope of the invention and its application.

[0050] The present invention is divided into two steps of training and testing, as attached figure 1 And attached figure 2 shown.

[0051] 1. In the training step, firstly collect data to form a database, that is, a large number of training images, including images containing human skin and images without human skin. The database will be used to train the basic skin tone model and lighting model. The basic skin color model is trained using a histogram statistical model. The training steps of the illumination model are divided into two parts: image feature extraction and image clustering. The principle of the illumination model is to cluster the skin color images with the same or similar illumination in the traini...

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 discloses a light adaptation human skin colour detection method in the model identification and image processing technical field. The method disclosed in the invention comprises the following steps of: collecting a training database; using the training database to train a basal skin colour model and a light model; using the basal skin colour model to screen pixels of an image to be detected; finding out a light model closest to the image to be detected from the light model; using the model to correct the image to be detected and the basal skin colour model; and outputting the corrected image to be detected after being detected by the basal skin colour model. By means of the invention, the light component in a skin colour region in the image to be detected is obviously improved; the detection precision is improved; the accuracy of the skin colour detection is improved; and the noise interference is reduced.

Description

technical field [0001] The invention belongs to the technical field of pattern recognition and image processing, and in particular relates to an illumination adaptive human skin color detection method. Background technique [0002] Human skin color detection technology is widely used in many fields, such as gesture recognition, face recognition and pornographic image filtering. Skin color detection is usually used as a preprocessing work in these fields, and its accuracy will have a great impact on the later processing work. This technology requires the ability to detect as many human skin pixels as possible in an image and reduce the number of non-skin color pixels. The usual processing method is to collect and organize a large number of human skin color images, and mark the skin color pixels in the picture, then build a skin color model based on these pixels, and then distinguish the pixels in the image to be detected. However, the skin color of the human body in the ima...

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 Patents(China)
IPC IPC(8): G06K9/00G06K9/62
Inventor 苗振江耿杰
Owner BEIJING JIAOTONG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap