Title :
A new technique for the segmentation of lumen from endoscopic images by differential region growing
Author :
Kumar, S. ; Asari, K.V. ; Radhakrishnan, D.
Author_Institution :
Robotics Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
Abstract :
A new algorithm for the segmentation of endoscopic images is presented. The proposed technique consists of a dual-step methodology viz. segmentation of quasi Region of Interest (qROI) using a global thresholding technique and segmentation of actual lumen using differential region growing. The proposed scheme is faster than the conventional gradient based region growing technique. The accuracy and high speed response of the proposed technique is validated with several endoscopic images and the results are presented
Keywords :
CCD image sensors; biomedical imaging; edge detection; feature extraction; image segmentation; medical image processing; differential region growing; dual-step methodology; endoscopic images; global thresholding technique; high speed response; lumen segmentation; quasi Region of Interest; Charge coupled devices; Data mining; Histograms; Image analysis; Image edge detection; Image segmentation; Light sources; Navigation; Pixel; Robots;
Conference_Titel :
Circuits and Systems, 1999. 42nd Midwest Symposium on
Conference_Location :
Las Cruces, NM
Print_ISBN :
0-7803-5491-5
DOI :
10.1109/MWSCAS.1999.867293
