Title :
Integrating fractal and intensity in image segmentation
Author :
Feng, Jie ; Lin, Wei-Chung ; Chen, Chin-Tu
Author_Institution :
Dept. of Electr. & Comput. Eng., Northwestern Univ., Evanston, IL, USA
fDate :
31 Oct-3 Nov 1996
Abstract :
A new segmentation approach is proposed to integrate both the directional fractal dimension and the histogram analyses. To detect weaker features, adaptive local enhancement is performed. This results in a more accurate segmentation capable of detecting fine and subtle details in a noisy image
Keywords :
adaptive signal processing; feature extraction; fractals; image enhancement; image segmentation; medical image processing; Sobel edge map; adaptive local enhancement; directional fractal dimension; echocardiogram; fine details; gray level information; histogram analyses; incompatibility ratio; integrating fractal and intensity; medical image segmentation; noisy image; serpentine dimension; small window; weaker features detection; Biomedical engineering; Computer vision; Eyes; Fractals; Heart; Histograms; Humans; Image analysis; Image segmentation; Pixel;
Conference_Titel :
Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE
Conference_Location :
Amsterdam
Print_ISBN :
0-7803-3811-1
DOI :
10.1109/IEMBS.1996.652713
