Paper Key : IRJ************797
Author: Srishty Jain
Date Published: 05 Jul 2024
Abstract
This paper presents a hybrid approach to image segmentation that synergistically combines region growing and region combining techniques. The proposed method initiates segmentation by identifying homogeneous regions through a region growing process, where regions are expanded from seed points based on similarity criteria. Subsequently, a region combining phase merges adjacent regions that exhibit high similarity, thereby refining the initial segmentation and reducing over-segmentation. This integrated approach enhances both the accuracy and efficiency of image segmentation. Experimental results on various test images demonstrate that the hybrid method outperforms traditional segmentation techniques in terms of precision and computational speed