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ANALYSIS OF MEDICAL CELLULAR IMAGES WITH AN ORIGINAL IMAGE FUZZY RGB-HSI SEGMENTATION

机译:原始图像模糊RGB-HSI分割的医学细胞图像分析

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Our works handles problematic of colour images processing and segmentation, in particular on cellular medical images. At first, a deep study was elaborated on colour image models and on colour space representation, mainly the RGB and the HSI spaces. In the following we apply one of our algorithms on the available image samples. The main purpose is to extract useful regions and the interesting colours in order to provide better cellular image analysis and synthesis.rnSeveral traditional algorithms were tested as: pixels classification, enhancing area. In this paper we propose original method, based on colour spaces transformation for colour variability reducing and then on a fuzzy colour segmentation model.
机译:我们的作品处理彩色图像处理和分割问题,特别是在蜂窝医学图像上。首先,对彩色图像模型和色彩空间表示(主要是RGB和HSI空间)进行了深入研究。接下来,我们对可用的图像样本应用我们的一种算法。主要目的是提取有用的区域和有趣的颜色,以便提供更好的细胞图像分析和合成。rn测试了几种传统算法,例如:像素分类,增强区域。在本文中,我们提出了一种基于颜色空间变换以减少颜色变异性然后基于模糊颜色分割模型的原始方法。

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