Deformable Model for Image Segmentation
نویسنده
چکیده
This paper presents an approach for image segmentation using Minimum Description Length (MDL) principle and integrating region growing, region boundary fitting, model selection in an integrated manner, on which the final result is a kind of compromise of various sources of knowledge such as the original grey level image and deformable object models. The deformable model is a closed polygon depicted by a number of straight line segments. The formulae for encoding the image intensity and shape of region are presented. The whole process is carried out by a split-and-merge mechanism which is based on a new data structure. We also introduce the method for optimal curve fitting. We believe that such approach can be used in the segmentation and feature detection for remote sensing image, urban scene image as well as in the automated integration of GIS, remote sensing and image processing.
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