Authors :
Sarita Jayaswal , Ajay Khuteta .
Volume/Issue :
Volume 1 - 2016, Issue 4 - July
Google Scholar :
https://goo.gl/Ql01Mc
Scribd :
https://goo.gl/6UE5DY
Abstract :
In this paper, threshold determination is finished on the foundation of one of a kind entropy measures on each gray scale and color images to extract tumor element from brain section MRI images. Comparative learn of the Shannon and non Shannon entropies (Renyi, Havrda-Charvat, Kapur and Vajda) is completed to receive a right threshold value for the intent of photograph segmentation. It is observed through the simulation experiments performed on images, that the position of the smallest minima obtained in the entropy versus gray-level plot is different for each entropy measure.
Keywords :
entropy, information theory, shannon, havrda, region growing, otsu, image segmentation, tumor.
In this paper, threshold determination is finished on the foundation of one of a kind entropy measures on each gray scale and color images to extract tumor element from brain section MRI images. Comparative learn of the Shannon and non Shannon entropies (Renyi, Havrda-Charvat, Kapur and Vajda) is completed to receive a right threshold value for the intent of photograph segmentation. It is observed through the simulation experiments performed on images, that the position of the smallest minima obtained in the entropy versus gray-level plot is different for each entropy measure.
Keywords :
entropy, information theory, shannon, havrda, region growing, otsu, image segmentation, tumor.
