首页> 外文会议>Adaptive and Natural Computing Algorithms pt.2; Lecture Notes in Computer Science; 4432 >Analysis of Microscopic Mast Cell Images Based on Network of Synchronised Oscillators
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Analysis of Microscopic Mast Cell Images Based on Network of Synchronised Oscillators

机译:基于同步振荡器网络的肥大细胞显微图像分析

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This paper describes automatic analysis of microscopic mast cell images using network of synchronized oscillators. This network allows for detection of image objects and their boundaries along with evaluation of some geometrical object parameters, like their area and perimeter. Estimation of such mast cells' parameters is very important in description of both physiological and pathological processes in the human organism. It was also demonstrated, that oscillator networks is able to perform basic morphological operations along with binary image segmentation. Analysis of sample mast cell image was presented and discussed.
机译:本文介绍了使用同步振荡器网络自动分析显微肥大细胞图像。该网络允许检测图像对象及其边界,并评估一些几何对象参数,例如其面积和周长。在描述人类机体的生理和病理过程中,估计这类肥大细胞的参数非常重要。还证明了,振荡器网络能够执行基本的形态学操作以及二进制图像分割。提出并讨论了样品肥大细胞图像的分析。

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