Segmentation of Dental Radiographs Using Active Contour Model
The fundamental task in the case of medical images is detection of interested region(s) and their further investigations either in an automated fashion or through expert interventions. The presence of noise and image anomalies lead to imperfection in boundary detection as it depends on intensity and contrast. Basic image processing techniques/tools used priorly help the practioners for proper selction of region of interest. Sometimes it was observed during experimentation that regionof interest so selected by the edge detection algorithm in the tool are not clear and proper discretisation of the regions were not exact as desired.. So proper image segmentation for extraction of features is essential. To forfeit the above conditions partitioning of an image into subsections must satisfy certain conditions. Here, in the proposed snakes-based approach we took the points directly so that it can automatically extract the affected part. An entire interactive tool with GUI was developed in MATLAB and used to generate all results shown in this chapter. In addition to snakes model, some of the basic features like area and canny were also included in the GUI-based tool. This interactive user friendly approach can help practitioners in identification of region of interest which can be further used for a precancerous treatment. It was observed that cases with precancerous treatment under erythroplakia and leucoplakia were satisfactorily diagnosed and that results obtained were satisfactory for helping out the practitioners too.
KeywordsImage segmentation Snakes model GUI Erythroplakia Leucoplakia Optimisation External energy Internal energy Active contour model
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