Edge Information based Seed Placement Guidance to Single Seeded Region Growing Algorithm
Keywords:
Region Growing, Phase Congruency, Log Gabor Wavelet, Edge detection, Image SegmentationAbstract
The split of the picture into regions that represent various objects or parts of an object has been referred to as image segmentation. An image is split with the objective of studying each object and getting some higher-level information. A wide range of segmentation approaches are either region-based or edge-based. By using likeness criteria among candidate sets of pixels, the region-based division split an image into distinct regions of related pixels. The choice of the starting seed points is the primary challenge for region growing algorithm in order to achieve attractive image subdivision. The region growing process is an extremely effective and trusted approach for segmenting images. In this paper, an autonomous method based on edge information is proposed to predict initial region development seed for single seeded region growing algorithm. Illumination invariant Log Gabor wavelet based phase congruency method is employed for edge detection. Edge line processing technique is utilized to determine region-growing seed for single seeded region growing algorithm.
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