Title :
Fractal based classification of Colon cancer tissue images
Author :
Esgiar, A.N. ; Chakravorty, P.K.
Author_Institution :
Fac. of Eng., Al Tahadi Univ., Sirte
Abstract :
An attempt has been made to classify the histopathological images of colon cancer tissues from the normal tissues based only on fractal features. The tissue images are modelled as fractal sets in E3 euclidian space. A new fractal feature estimation algorithm has been used. We call it true box counting method. It is seen that lacunarity features are important parameters and are more important in classification or segmentation than other fractal features like fractal dimension and mass dimension.
Keywords :
biological tissues; cancer; feature extraction; fractals; image classification; medical image processing; colon cancer tissue; feature estimation; fractal; image classification; true box counting method; Cancer; Colon; Data mining; Entropy; Fractals; Image reconstruction; Image segmentation; Lesions; Solids; Surface reconstruction;
Conference_Titel :
Signal Processing and Its Applications, 2007. ISSPA 2007. 9th International Symposium on
Conference_Location :
Sharjah
Print_ISBN :
978-1-4244-0778-1
Electronic_ISBN :
978-1-4244-1779-8
DOI :
10.1109/ISSPA.2007.4555279
