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A Watershed Based Morphological Operator Approach For Image Segmentation
SAVITA VIJAYRAN, PARAMJEET SINGH Computer Science and Engineering Deptt, PDM College of Engineering, Bahadurgarh, Haryana PDM College of Engineering, Bahadurgarh, Haryana
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Abstract: One of the primary applications of image processing is the image segmentation. The segmentation is itself an intermediate process as well as application that help other applications as its preprocessing part. The segmentation is used by many approaches to improve the effectiveness of work. To achieve the effective results from these algorithms, an effective segmentation is required. In this present work a hybrid approach is presented to perform the image segmentation. The work is about to use the basic mathematical approaches to obtain more accurate results. The approaches covered in this work are morphological operators, watershed algorithm and the adaptive thresholding approach. In this paper, the basic segmentation approaches are defined as well as a new hybrid is presented to perform the effective segmentation.
Keywords: Segmentation, Watershed, Morphological
Keywords: Segmentation, Watershed, Morphological
How to Cite:
[1] SAVITA VIJAYRAN, PARAMJEET SINGH Computer Science and Engineering Deptt, PDM College of Engineering, Bahadurgarh, Haryana PDM College of Engineering, Bahadurgarh, Haryana, âA Watershed Based Morphological Operator Approach For Image Segmentation,â International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)
