Segmentation of Lung Glandular Cells using Multiple Color Spaces
Sajith Kecheril S. · International Journal of Computer Science Engineering and Applications · 2012
Early detection of lung cancer is a challenging problem, the world faces today.Prior to classify glandular cells as malignant or benign a reliable segmentation technique is required.In this paper we present a novel lung glandular cell segmentation technique.The technique uses a combination of multiple color spaces and various clustering algorithms to automatically find the best possible segmentation result.Unsupervised clustering methods of K-means and Fuzzy C-means were used on multiple color spaces such as HSV, LAB, LUV, xyY.Experimental results of segmentation using various color spaces are provided to show the performance of the proposed system.