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An Adaptive Color Similarity Function for Color Image Segmentation

机译:彩色图像分割的自适应颜色相似度函数

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摘要

In this paper an interactive, semiautomatic image segmentation method is presented which, processes the color information of each pixel as a unit, thus avoiding color information scattering. The process has only two steps: 1) The manual selection of few sample pixels of the color to be segmented in the image; and 2) The automatic generation of the so called Color Similarity Image (CSI), which is just a gray level image with all the tonalities of the selected colors. The color information of every pixel is integrated in the segmented image by an adaptive color similarity function designed for direct color comparisons. The color integrating technique is direct, simple, and computationally inexpensive and it has also good performance in gray level and low contrast images.
机译:本文提出了一种交互式的半自动图像分割方法,该方法将每个像素的颜色信息作为一个单元进行处理,从而避免了颜色信息的分散。该过程只有两个步骤:1)手动选择要在图像中分割的颜色的几个样本像素; 2)自动生成所谓的颜色相似度图像(CSI),它只是具有所选颜色的所有色调的灰度图像。每个像素的颜色信息通过为直接颜色比较而设计的自适应颜色相似度函数集成在分割的图像中。颜色积分技术是直接,简单且计算上便宜的,并且在灰度级和低对比度图像中也具有良好的性能。

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