Wall-Pasted Cell Segmentation Based on Gabor Filter with Parameter Constraint

2006 9th International Conference on Control, Automation, Robotics and Vision Pub Date : 2006-12-01 DOI:10.1109/ICARCV.2006.345410

Nongliang Sun, Saicong Xu, Maoyong Cao

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引用次数: 3

Abstract

Gabor filter has been widely used in image processing because of multi-scale, multi-orientation and multi-frequency. To deal with so many parameters, however, especially the frequency parameter, are of great complexity. From the study of one dimensional Gabor filter and its comparison with one dimensional Gauss filter, we proposed a new scheme to simplify its designing work, which mainly deals with the frequency parameter. The filters designed with constrained parameter can approximate the March band effect well. We also applied parameter constraint into 2D Gabor filter designed to reduce the complexity and improve the calculation efficiency. Basing on theoretical analysis and a large amount of experiments, we come to the conclusion that, assisted with rotational filter and Morphological operation, accurate and satisfactory segmentation results can be obtained to the cell images with frequency parameter f taking values between a narrow region. This not only reduces the calculation consumption but also give a direction of how to choose the best segmentation and recognition result

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基于参数约束Gabor滤波器的贴壁细胞分割

Gabor滤波器由于具有多尺度、多方向、多频率等特点，在图像处理中得到了广泛的应用。然而，要处理如此多的参数，特别是频率参数，是非常复杂的。通过对一维Gabor滤波器的研究及其与一维高斯滤波器的比较，提出了一种简化其设计工作的新方案，该方案主要处理频率参数。采用约束参数设计的滤波器能较好地逼近三月带效应。我们还将参数约束应用到设计的二维Gabor滤波器中，以降低复杂度，提高计算效率。在理论分析和大量实验的基础上，我们得出结论，在旋转滤波和形态学运算的辅助下，对频率参数f取值范围在一个狭窄区域之间的细胞图像，可以得到准确、满意的分割结果。这不仅减少了计算量，而且为如何选择最佳的分割和识别结果提供了方向

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2006 9th International Conference on Control, Automation, Robotics and Vision

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