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Improved HSI Color Space for Color Image Segmentation

机译:改进的HSI色彩空间用于彩色图像分割

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We present an interactive, semiautomatic image segmentation method that processes the color information of each pixel as a unit, thus avoiding color information scattering. The color information of every pixel is integrated in the segmented image by an adaptive color similarity function designed for direct color comparisons. The border between the achromatic and chromatic zones in the HSI color model has been transformed in order to improve the quality of the pixels segmentation when their colors are very obscure and very clear. The color integrating technique is direct, simple and computationally inexpensive, and it has also good performance in low chromaticity and low contrast images. It is shown that segmentation accuracy is above 95% as average and that the method is fast. These results are significant when compared to other solutions found in the current literature.
机译:我们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。通过为直接颜色比较而设计的自适应颜色相似度函数,将每个像素的颜色信息集成到分割的图像中。 HSI颜色模型中消色差和色差区域之间的边界已进行了转换,以提高当像素的颜色非常模糊和非常清晰时像素分割的质量。颜色积分技术是直接,简单且计算上便宜的,并且在低色度和低对比度图像中也具有良好的性能。结果表明,分割精度平均为95%以上,并且该方法是快速的。与当前文献中发现的其他解决方案相比,这些结果非常重要。

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