A New Edge Detection Method for CT-Scan Lung Images
DOI:
https://doi.org/10.14738/jbemi.25.1453Keywords:
Lung image, adaptive mask, finite difference method, gradient.Abstract
Lung cancer is one of the most serious health problems in the world. Lung Computer-Aided Diagnosis (CAD) is a potential method to accomplish a range of quantitative tasks such as early cancer and disease detection, analysis of disease progression. Edge detection in Lung image is a fundamental step in CAD system and many algorithms have suggested for edge detection in image, In this paper a new operator has developed for edge detection based on finite difference method. Experimentation showed that the proposed operator gave good results in detection the edges in Lung images.
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