Abstract
In this paper algorithm for search the tumour cells images in a database is developed. This algorithm based on shape and colour image features.
Highlights
Today every biomedical research includes the processing of a big amount of textual and image data
There are two main approaches for image searching, either in local database or internet: classification defined by expert and the content based image retrieval
Image segmentation considerably improves speed of image search in the case when it contains the group of objects
Summary
Today every biomedical research includes the processing of a big amount of textual and image data. For storing and retrieval of medical data researchers uses various databases. There are two main approaches for image searching, either in local database or internet: classification defined by expert and the content based image retrieval. The first approach means that images are classified on some categories: disease, organ, tissue type, magnification etc. The second approach means that images are segmented into homogeneous regions, based on some rules, and their different features are calculated. Image segmentation considerably improves speed of image search in the case when it contains the group of objects. During segmentation the features of each region are calculated and stored in database. The goal of this paper is the determination of edge and colour features of tumour cells images and developing the algorithm for search of these images in a database
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