期刊名称：Signal & Image Processing : An International Journal (SIPIJ)
印刷版ISSN：2229-3922
电子版ISSN：0976-710X
出版年度：2010
卷号：1
期号：2
页码：75
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Texture analysis such as segmentation and classification plays a vital role in computer vision and patternrecognition and is widely applied to many areas such as industrial automation, bio-medical imageprocessing and remote sensing. In this paper, we first extend the well-known Gabor filters to colorimages using a specific form of hypercomplex numbers known as quaternions. These filters areconstructed as windowed basis functions of the quaternion Fourier transform also known ashypercomplex Fourier transform. Based on this extension this paper presents the use of these newquaternionic Gabor filters in colour texture image segmentation. Experimental results on two colourtexture images are presented. We tested the robustness of this technique for segmentation by addingGaussian noise to the texture images. Experimental results indicate that the proposed method gives bettersegmentation results even in the presence of strongest noise.
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