Color Image Enhancement and Segmentation for Computer Vision

计算机视觉领域主要处理单色图像，而彩色图像的使用基本上还未被探索。由于计算机技术以及单色图像处理和解释的进步，有理由开始将更多的努力引导到将颜色信息合并到计算机视觉系统中。需要开发直接应用于矢量像素值的彩色图像增强、分析和分割的新技术，而不是简单地将单色技术应用于红色、绿色和蓝色分量图像。此外，需要开发彩色图像处理和解释的理论模型，以便存在彩色计算机视觉的统一理论。规划活动将从确定哪些现有技术可以容易地扩展到应用于彩色图像，以及哪些新技术必须开发开始。此外，还将审查多光谱图像分析方法，以确定哪些技术可以适用于彩色图像。在规划期间，将通过软件实施对各种技术进行一些初步分析。这将有助于确定哪些方法最有希望，并值得进一步研究。这些规划活动的结果将是制定一个研究项目，为彩色计算机视觉系统开发特定的图像增强、分析和分割程序。

The field of computer vision has dealt mostly with monochrome images, leaving the use of color images largely unexplored. Because of advances in computer technology and in monochrome image processing and interpretation, it is reasonable to begin directing more effort toward the incorporation of color information into computer vision systems. New techniques for color image enhancement, analysis, and segmentation need to be developed that apply directly to the vector pixel values, rather than simply applying monochrome techniques to the red, green, and blue component images. In addition, theoretical models for color image processing and interpretation need to be developed so that a unified theory for color computer vision will exist. Planning activities will start with ascertaining which existing techniques can be readily extended to apply to color images and which new techniques must be developed. Also, methods for multispectral image analysis will be reviewed in order to determine which techniques can be adapted to color images. During the planning period, some preliminary analysis of various techniques will be performed through software implementation. This will help determine which methods offer the most promise and warrant further research. The result of these planning activities will be the formulation of a research project for the development of specific image enhancement, analysis, and segmentation procedures for a color computer vision system.