Image processing of particle detection for asbestos qualitative analysis support method -Particle counting system based on classification of background area-
Image processing of particle detection for asbestos qualitative analysis support method -Particle counting system based on classification of background area-
复制标题
石棉定性分析支持方法的颗粒检测的图像处理 -基于背景区域分类的颗粒计数系统-
DOI：
10.1109/icarcv.2008.4795631
复制
发表时间：
2008
期刊：
影响因子：
--
通讯作者：
H. Mizoguchi
中科院分区：
文献类型：
--
作者：
K. Ishizu;H. Takemura;K. Kawabata;H. Asama;T. Mishima;H. Mizoguchi
本文提出了一种通过计算图像RGB空间的颜色方差对背景区域进行自动分类的方法。该方法使背景分类对背景亮度和背景颜色的变化具有鲁棒性。此外，我们通过执行粒子检测和验证计数结果来证明该技术的有效性。本文旨在研制一种能对石棉分析方法之一的ldo分散染色法进行自动计数的粒子检测器。我们使用相衬显微镜拍摄的照片用于“分散染色法”。
In this paper, we propose the technique classifying background area automatically by calculating the color variance in the RGB space of the picture. By this technique, the background classification robust to change of the background brightness and the background color was enabled. Moreover, we show the effectiveness of this technique by performing particle detection and verifying the result of counting. We aim at development of the particle detector which performs particle counting automatically about the ldquodispersion staining methodrdquo which is one of the processes of asbestos analysis. We used the pictures taken by phase contrast microscopy used for a "dispersion staining method".