AUTOMATIC COLOR SEGMENTATION OF IMAGES WITH APPLICATION TO DETECTION OF VARIEGATED COLORING IN SKIN TUMORS
AUTOMATIC COLOR SEGMENTATION OF IMAGES WITH APPLICATION TO DETECTION OF VARIEGATED COLORING IN SKIN TUMORS
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DOI：
10.1109/51.45955
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发表时间：
1989-12-01
影响因子：
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通讯作者：
STOECKER, WV
中科院分区：
文献类型：
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作者：
UMBAUGH, SE;MOSS, RH;STOECKER, WV
描述了一个计算机视觉系统，开发作为前端的医疗专家系统，自动化的视觉特征识别皮肤肿瘤的评价。一般的方法是创建不同的软件模块来检测关键功能的存在或不存在。使用人工智能（AI）技术进行图像分析，例如使用纳入图像处理算法的算法，是主要方法。在广泛的范围内，本研究解决了基于颜色信息的数字图像分割问题。该算法被开发来分割图像的基础上严格的颜色信息被证明是一个有用的援助，在识别肿瘤边界，溃疡，和其他功能的利益。作为一个具体的应用实例，该方法被应用到200个数字化皮肤肿瘤图像，以识别称为杂色着色的特征。广泛的背景信息，并描述了该算法的发展。<>
A description is given of a computer vision system, developed to serve as the front-end of a medical expert system, that automates visual feature identification for skin tumor evaluation. The general approach is to create different software modules that detect the presence or absence of critical features. Image analysis with artificial intelligence (AI) techniques, such as the use of heuristics incorporated into image processing algorithms, is the primary approach. On a broad scale, this research addressed the problem of segmentation of a digital image based on color information. The algorithm that was developed to segment the image strictly on the basis of color information was shown to be a useful aid in the identification of tumor border, ulcer, and other features of interest. As a specific application example, the method was applied to 200 digitized skin tumor images to identify the feature called variegated coloring. Extensive background information is provided, and the development of the algorithm is described.<>