A novel technique for edge detection using gabor transform and K-means with FCM algorithms

0Citations
Citations of this article
1Readers
Mendeley users who have this article in their library.
Get full text

Abstract

In this paper, a technique has been proposed for detecting edge in medical images throughput from computed tomography and magnetic resonance imaging devices. The proposed technique is Gabor wavelet transform along with two clustering methods i. e. Fuzzy c-means with k-means which is used to adorn the edge information while suppressing noise.

Cite

CITATION STYLE

APA

Maruthi Kumar, D., Prashanth, K., Peruru, P. K., & Charishma Kumar Reddy, P. (2017). A novel technique for edge detection using gabor transform and K-means with FCM algorithms. In Lecture Notes in Electrical Engineering (Vol. 394, pp. 273–280). Springer Verlag. https://doi.org/10.1007/978-981-10-1540-3_29

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free