Enhanced Method for Image Region Centerline Extraction
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In this paper, we present an enhanced method for extracting centerlines from image regions. The algorithm addresses the issue of multiple boundary occurrences by implementing a pre-expansion technique for edge processing. Specifically, our approach utilizes advanced edge expansion methods to eliminate noise and irregularities in images, thereby improving the accuracy and stability of centerline extraction. The implementation involves morphological dilation operations to expand boundaries before skeletonization, ensuring single-pixel width centerlines without branching artifacts. Experimental validations demonstrate the effectiveness and superiority of our method compared to conventional approaches. We believe this improved centerline extraction technique will contribute positively to future developments in image analysis and computer vision applications.
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