Title :
A Medical Image Mosaicking Technology Based on Venous Diagnosis
Author :
Xu Jing ; Yang Xiao Hong ; Shao Xiang Xin
Author_Institution :
Dept. of Neurology Internal Med., First Hosp. of Jilin Univ., Changchun, China
Abstract :
Combining the characteristics of medical image, this paper presents a new image mosaicking algorithm based on ratio template matching by introducing gradient factor to enhance the robustness of the template. It corrects the exposure difference in the mosaicking image, and applies the fade-in and fade-out method to make the stitched image seamless and smooth. Experimental results testify that this algorithm improves the reliability and increases the speed of matching and is easier to operate.
Keywords :
image matching; image segmentation; medical image processing; Venous diagnosis; exposure difference; fade-in method; fade-out method; gradient factor; medical image mosaicking; ratio template matching; stitched image; Biomedical imaging; Brightness; Control engineering; Hospitals; Medical diagnostic imaging; Nervous system; Paper technology; Pixel; Robustness; Testing;
Conference_Titel :
Biomedical Engineering and Computer Science (ICBECS), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5315-3
DOI :
10.1109/ICBECS.2010.5462472
