Paper Info
Title
The Objectifying System Using for Color Inspection of Traditional Chinese Medicine Based on the Digital Image Technology
Abstract
This paper report a new system developed for objectifying study of Color inspections of traditional Chinese medicine (CITCM), which is based on the digital image technologies. In this scheme, the entire system includes two parts, which are the hardware and the software. The hardware is an image acquisition device in a standard lighting conditions, which mainly includes a xenon lamp with a Color Temperature of 5500K to act as light source, an integrating sphere which is used for diffusing light and a high resolution CCD camera. The software is used for digital image processing, the procedure is divided into three steps. Firstly the skin/ non-skin classification is performed by utilizing the threshold in chrominance channels of the RGB color space. Secondly, the facial features are localized by employing the image segmentation and coordinates sorting. Finally, the facial special region (SI) corresponding to five internal organs are achieved by utilizing masks designed to take advantage of morphology. Subsequently, the chromaticity is calculated. The system is carried out by taking 100 samples. Experimental results demonstrate that the proposed scheme exhibits better performance for objectifying research of CITCM.
Year
DOI
Venue
2014
10.1109/ICMB.2014.11
ICMB
Keywords
Field
DocType
ccd image sensors,digital image technology,facial features,traditional chinese medicine,integrating sphere,biomedical optical imaging,objectifying system,image resolution,image segmentation,chromaticity,internal organs,color inspection,data acquisition,digital image processing,hardware,chrominance channels,feature extraction,image classification,diffusing light,morphology,rgb color space,high resolution ccd camera,software,standard lighting conditions,special region,color temperature,light source,facial special region,image acquisition device,biological organs,skin,xenon lamp,skin-nonskin classification,medical image processing,temperature 5500 k,image colour analysis
Computer vision,Color histogram,Computer science,Binary image,Digital image,Demosaicing,RGB color model,Artificial intelligence,Digital image processing,False color,Color image
Conference
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Dongmei Zheng100.34
Wenai Song210.96
ZhenDong Dai312.75
Hongmo Wang400.68