Abstract
The article provides an analysis of image processing and color segmentation applied to the problem of selection of homogeneous regions in the parameters of the color model. Methods of image processing such as Gaussian filter, median filter, histogram equalization and mathematical morphology are considered. The segmentation algorithm with the parameters of color components is presented, followed by isolation of the resulting connected component of a binary segmentation mask. Analysis of methods performed on images colposcopic research.
Highlights
In Russia cervical cancer ranks third among cancers of a reproductive system [1]
The results of the study, including the analysis of the applicability and implementation of the methods described will be applied in specialized software for the analysis of colposcopic images
They will be implemented in analytical algorithms and used for improving the quality of colposcopic images and their segmentation
Summary
In Russia cervical cancer ranks third among cancers of a reproductive system [1]. Colposcopy is one of the methods for early diagnosis of cervical precancer [2]. The images obtained from this procedure are suitable for their analysis aimed at identification of pathological processes on the surface of the cervix. The aim of this study is the selection and implementation of methods for preprocessing image of cervical surface in order to eliminate their artifacts (e.g., glare light in cervical mucosa), and identify homogeneous areas showing changes in the structure of the surface investigated
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