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The effect of image feature qualifiers on fuzzy colorectal polyp detection schemes using KH interpolation - towards hierarchical fuzzy classification of coloscopic still images

机译:图像特征限定词对基于KH插值的模糊结直肠息肉检测方案的影响-对阴道镜静止图像的层次模糊分类。

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Previous studies showed that intensities, intensity variation, edge densities, structural entropies of colonoscopy images and their wavelet transforms are good candidates for being selected as antecedents in fuzzy decision methods using KH interpolation for determining whether an image segment contains colorectal polyp segment. In the present consideration, we check which possible antecedent dimensions need interpolation, whether the average and variation of the gradients makes the classification more effective and whether some of the features can be omitted for some classes of images. The method is tested on three available databases consisting of images of three different resolutions, and according to the results, different resolutions, different types of polyps require different classification schemes, thus a hierarchical decision system needs to be built.
机译:先前的研究表明,结肠镜检查图像的强度,强度变化,边缘密度,结构熵及其小波变换是使用KH插值确定图像段是否包含结直肠息肉段的模糊决策方法的先决条件。在目前的考虑中,我们检查哪些可能的先行尺寸需要内插,梯度的平均值和变化量是否使分类更加有效以及对于某些类别的图像是否可以省略某些特征。该方法在由三个不同分辨率的图像组成的三个可用数据库上进行了测试,根据结果,不同分辨率,不同类型的息肉需要不同的分类方案,因此需要构建一个层次决策系统。

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