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Instruments and Systems: Monitoring, Control, and Diagnostics

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Methods of fuzzy segmentation development for the analysis of medical images
YU.YU. GROMOV, P.I. KARASEV, S.K. STEGACHEV

Image recognition and segmentation pose a challenge to Image Retrieval process. Challenges posed include many number of images
to be processed for the image retrieval problem at a very fast time and identifying the location of interest automatically to optimize the search. One of the optimization methods is the use of programmable gate array, which contains the corresponding functional blocks for the subsequent complex image processing. In this paper, we propose a new method based on a fuzzy algorithm for detecting contours and segmentation together with use the programmable gate array. In this work proposed a new image segmentation algorithm Fuzzy Edge Detection and Segmentation built into an FPGA. The proposed architecture and algorithm were implemented and tested on medical images.
Keywords: Image segmentation, pattern recognition, edge detection.

Contacts: E-mail gromovtambov@yandex.ru

Pp. 07-13.

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