Segmentation and cavity filling of color image from stained trabecular sections based on HSV space.
- Author:
Chengyu LU
1
;
Tie WU
Author Information
1. Department of Pharmacology, Guangdong Medical College, Dongguan 523808, China. gdmclu@yahoo.com.cn
- Publication Type:Journal Article
- MeSH:
Algorithms;
Bone Density;
Bone and Bones;
pathology;
Color;
Humans;
Image Processing, Computer-Assisted;
Osteoporosis;
pathology;
Staining and Labeling
- From:
Journal of Biomedical Engineering
2012;29(2):260-263
- CountryChina
- Language:Chinese
-
Abstract:
A approach to segment the color image based on Hue-Saturation-Value (HSV) space was proposed, and it was used to segment the color image digitized from the bone sections stained with Masson-Goldner's Trichrome by CCD camera. According to HSV approach, color image was transformed from RGB space to HSV space at first, and then the image was segmented by using the threshold value of hue (90 < H < 150) and saturation (S > 0.25) to find the image of the green color stained trabecular. And then used the threshold value of saturation (S < 0.2) and value (V > V(background) x 0.95) to find the unstained high brightness field. At last, unstained high brightness fields which were concluded in stained trabecular image were filled with the color of trabecular, so the completely trabecular image could be drawn. The results showed that HSV approach was fast and simple, and it could be an efficient automatic algorithm.
