APPLICATION OF MORPHOLOGICAL AND BOUNDARY PIXEL BASED SEGMENTATION FOR FINGERPRINT AND MEDICAL  IMAGE ENHANCEMENT

Shraddha Dwivedi, Abhay Shukla, Somendra tripathi

APPLICATION OF MORPHOLOGICAL AND BOUNDARY PIXEL BASED SEGMENTATION FOR FINGERPRINT AND MEDICAL IMAGE ENHANCEMENT

Authors

Shraddha Dwivedi, Abhay Shukla, Somendra tripathi

Keywords:

fingerprint segmentation; medical image segmentation; mathematical morphology; boundary-pixel connectivity; image enhancement; explainable segmentation

Abstract

Accurate segmentation plays a crucial role in biometric identification and medical imageanalysis, where object boundaries are often degraded by noise, low contrast, and structuraloverlap. In practical scenarios such as fingerprint recognition and medical diagnostics, conventional segmentation techniques frequently fail to preserve structural integrity

References

Abramoff, M. D., Garvin, M. K., & Sonka, M. (2010). Retinal imaging and image analysis. IEEE Reviews in Biomedical Engineering, 3, 169–208.

Canny, J. (1986). A computational approach to edge detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 8(6), 679–698

Downloads

Published

2024-12-20

How to Cite

Shraddha Dwivedi, Abhay Shukla, Somendra tripathi. (2024). APPLICATION OF MORPHOLOGICAL AND BOUNDARY PIXEL BASED SEGMENTATION FOR FINGERPRINT AND MEDICAL IMAGE ENHANCEMENT . Journal of Computational Analysis and Applications (JoCAAA), 33(08), 8291–8303. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/5296