Concepts in imaging and microscopy: color image processing for microscopy.
Concepts in imaging and microscopy: color image processing for microscopy.
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DOI：
10.2307/1543039
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发表时间：
1998-04
期刊：
影响因子：
--
通讯作者：
K. Castleman
中科院分区：
文献类型：
--
作者：
K. Castleman
数字图像分析早已应用于光显微镜的单色图像。利用这些技术，人们可以在显微镜视野中定位、测量、识别和计数感兴趣的物体。由于显微镜图像通常包含感兴趣的颜色信息，因此分析图像的光谱内容也变得越来越普遍。虽然大多数为单色显微镜开发的数字成像技术都可以很好地处理彩色图像，但对于多光谱图像的分析有一些特殊的考虑。这些包括获得适当平衡的多色数字图像，指定图像的颜色成分，以及补偿颜色通道之间的不完美分离。
Digital image analysis has long been applied to monochrome images from the light microscope. Using these techniques one can locate, measure, identify, and count the objects of interest in a microscope field of view. Since microscope images often contain color information of interest, it is now becoming more common to analyze the spectral content of images as well. Although most of the digital imaging techniques developed for monochrome microscopy work well with color images, there are a few considerations specific to the analysis of multispectral imagery. These include obtaining a properly balanced multicolor digital image, specifying the color components of the image, and compensating for imperfect separation among the color channels.