IMAGE SEGMENTATION BY SOBEL EDGE DETECTION ALGORITHM - MOSAIC METHOD




Abstract:
Segmentation is one of the latest directions of digital imaging development, presented by partial segments which are parts of the same image. The currently used algorithms are rare and far from ideal. Depending on the situation, algorithms behave differently, so it is almost impossible to single out a unique conclusion. This paper gives a proposal for new segmentation techniques for the digital image processing with auxiliary Sobel edge detection algorithm and specially a defined threshold of detection. Matlab software is used for giving a particular conceptual design of a partial display of images and for correlating adequate numerical methods of digital processing. The study results confirm the quality of the proposed algorithm and position it for practical use and they also give guidelines for further improvements.

CITATION:

IEEE format

R. Ivković, I. Milošević, M. Petrović, P. Spalević, S. Panić, “Image Segmentation By Sobel Edge Detection Algorithm - Mosaic Method,” in Sinteza 2018 International Scientific Conference on Information Technology and Data Related Research, Belgrade, Singidunum University, Serbia, 2018, pp. 189-196. doi:10.15308/Sinteza-2018-189-196

APA format

Ivković, R., Milošević, I., Petrović, M., Spalević, P., Panić, S. (2018). Image Segmentation By Sobel Edge Detection Algorithm - Mosaic Method. Paper presented at Sinteza 2018 International Scientific Conference on Information Technology and Data Related Research. doi:10.15308/Sinteza-2018-189-196

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