Histological image segmentation using fast mean shift clustering method

Geming Wu; Xinyan Zhao; Shuqian Luo; Hongli Shi

doi:10.1186/s12938-015-0020-x

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Histological image segmentation using fast mean shift clustering method

Geming Wu Xinyan Zhao Shuqian Luo Hongli Shi

Year: 2015 Journal: BioMedical Engineering OnLine Vol: 14 (1)Pages: 24-24 Publisher: BioMed Central

DOI: 10.1186/s12938-015-0020-x

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Abstract

An effective and reliable histological image segmentation approach is proposed in this paper. It employs improved Mean Shift clustering, which is speed up by using probability density distribution estimation and the integral scheme.

Keywords:

Mean-shift Artificial intelligence Pattern recognition (psychology) Cluster analysis Segmentation Image segmentation Scale-space segmentation Feature (linguistics) Feature vector Segmentation-based object categorization Pixel Computation Mathematics Computer science Computer vision Algorithm

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AI in cancer detection

Physical Sciences → Computer Science → Artificial Intelligence

Medical Image Segmentation Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Digital Imaging for Blood Diseases

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Histological image segmentation using fast mean shift clustering method

Abstract

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