This paper is published in Volume-5, Issue-2, 2019
Area
Image Processing
Author
Sravani Palika
Co-authors
K. S. N. Sarat Chandra, K. Lavanya, S. A. Bhavani
Org/Univ
Anil Neerukonda Institute of Technology and Sciences, Visakhapatnam, Andhra Pradesh, India
Pub. Date
18 March, 2019
Paper ID
V5I2-1350
Publisher
Keywords
DOST, Frequency domain, Spatial domain, Biomedical image processing

Citationsacebook

IEEE
Sravani Palika, K. S. N. Sarat Chandra, K. Lavanya, S. A. Bhavani. Bio-medical texture characterization using DOST, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Sravani Palika, K. S. N. Sarat Chandra, K. Lavanya, S. A. Bhavani (2019). Bio-medical texture characterization using DOST. International Journal of Advance Research, Ideas and Innovations in Technology, 5(2) www.IJARIIT.com.

MLA
Sravani Palika, K. S. N. Sarat Chandra, K. Lavanya, S. A. Bhavani. "Bio-medical texture characterization using DOST." International Journal of Advance Research, Ideas and Innovations in Technology 5.2 (2019). www.IJARIIT.com.

Abstract

We present a new efficient approach for detecting tumor of cancer in the human body based on a recently published discrete orthonormal space-frequency transform known as the DOST. We develop a frequency-domain implementation of the DOST in two dimensions for the case of dyadic frequency sampling. This manual detection may have chances of false detection. So a computerized method for cancer detection is needed. A feature selection algorithm based on statistical two-sample t-test method is used for the selection of significant coefficients from the high dimensional DOST(Discrete Orthonormal Stockwell Transform) coefficients. The selected significant coefficients are used as features for the classification of human body tumor as benign or malignant.