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Hand ornament detection method based on local image difference analysis

A technology of difference analysis and partial image, applied in the field of image processing, can solve the problem of few hand studies

Pending Publication Date: 2021-09-03
EAST CHINA UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

But looking at home and abroad, the research on the hand is nothing more than the recognition of gestures and the detection of key points, and there are very few studies on the content of our hands.

Method used

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  • Hand ornament detection method based on local image difference analysis
  • Hand ornament detection method based on local image difference analysis
  • Hand ornament detection method based on local image difference analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0022] Step S1, using the region growing technique to extract the hand from the original image to obtain a hand extraction map.

[0023] The region growing technique is also called the skin seed technique in this method, which mainly uses skin pixels as seeds to obtain the hand region and extract it.

[0024] Step S2, verify the integrity of the hand extraction map obtained in step S1, if the hand is complete, go to the next step, if not, return to step S1 and perform hand extraction again.

[0025] Integrity verification technology is still essentially a hand extraction, mainly based on wrist positioning and hand extraction and verification.

[0026] The conditions for judging the integrity of the hand are: whether the wrist line is at the edge of the extracted hand, and whether there are skin pixels on both sides.

[0027]

[0028] Step S3: Perform local image difference analysis on the complete hand obtained in step S2, use the improved DLBP operator based on the LBP op...

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Abstract

The invention provides a hand ornament detection method based on local image difference analysis. The foreground extraction method used in the invention is a region growing technology, hand extraction is carried out by using a seed homogeneous diffusion mode, then wrist-based integrity verification is carried out on the extracted hand, if the hand is complete, local difference analysis is carried out, and if the hand is not complete, the hand is extracted again. According to the local difference analysis, an existing LBP texture extraction operator is improved into a DLBP algorithm for hand adaptability, hand texture features are extracted, a traditional texture direct comparison method and a machine learning classification method are used for comparison, and a method more suitable for detecting hand accessories is obtained.

Description

technical field [0001] The invention mainly relates to image processing technology, and in particular to a hand jewelry detection method based on local image difference analysis. 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. . Nowadays, the construction of smart kitchen is also a hot spot, the reason is that people are eager to integrate the latest technology into their daily life, hoping 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 intelligentization of ...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/46G06K9/62G06N20/00
CPCG06N20/00G06F18/2132
Inventor 袁玉波车云云
Owner EAST CHINA UNIV OF SCI & TECH