摘要
给出一种HSV颜色空间上的彩色图像分割方法,并应用于由CCD摄像机采集的染色骨小梁切片图像的分割。该方法将RGB彩色图像转换到HSV颜色空间,通过设置色调(90<H<150)和饱和度(S>0.25)阈值对绿染的骨小梁进行分割,并通过设置亮度(V>V背景×0.95)和饱和度(S<0.2)阈值获得非染色高亮区域图像,然后通过填充包含在染色骨小梁图像内的非染色高亮区,获得完整的骨小梁结构。实验结果表明,该方法快速简单,与人眼的辨别结果一致,是一种有效的自动算法。
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（90H150） and saturation（S0.25） to find the image of the green color stained trabecular.And then used the threshold value of saturation（S0.2） and value（VVbackgroud×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.
出处
《生物医学工程学杂志》
EI
CAS
CSCD
北大核心
2012年第2期260-263,共4页
Journal of Biomedical Engineering
关键词
HSV空间
骨小梁
图像分割
填充
骨组织形态计量学
Hue-Saturation-Value（HSV）space
Bone trabecular
Image segmentation
Blood fill
Parameters of bone morphometry
