Automatic detection of specular reflections in uterine cervix images

Gali Zimmerman-Moreno; Hayit Greenspan

doi:10.1117/12.653089

20 March 2006 Automatic detection of specular reflections in uterine cervix images

Gali Zimmerman-Moreno, Hayit Greenspan

Author Affiliations +

Proceedings Volume 6144, Medical Imaging 2006: Image Processing; 61446E (2006) https://doi.org/10.1117/12.653089
Event: Medical Imaging, 2006, San Diego, California, United States

Abstract

Specular reflections strongly affect the appearance of images, and usually hinder the computer vision algorithms applied to them. This is particularly the case with uterine cervix images. The highlights created by specular reflections are a major obstacle in the way of automatic segmentation of such images. We propose a method for the detection of specularities in cervix images that utilizes intensity, saturation and gradient information. A two-stage segmentation process is proposed for the identification of highlights. First, coarse regions that contain the reflections are defined. Second, probabilistic modeling and segmentation is used to achieve a precise segmentation inside the coarse regions. The resulting regions are filled by propagating the surrounding color information. The efficiency of the method for cervix images is demonstrated.

Citation Download Citation

Gali Zimmerman-Moreno and Hayit Greenspan "Automatic detection of specular reflections in uterine cervix images", Proc. SPIE 6144, Medical Imaging 2006: Image Processing, 61446E (20 March 2006); https://doi.org/10.1117/12.653089

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