Colour texture classification for Human Tissue Images

Authors:
G. Wiselin Jiji
Affiliations:
Department of Computer Science & Engineering, Dr. Sivanthi Aditanar College of Engineering, Tiruchendur 628 215, Tamil Nadu, India
Venue:
Applied Soft Computing
Year:
2011

Citing 4
Cited 2

Computer vision on magnetic resonance images

Pattern Recognition Letters
Evaluation of the mechanical properties of human liver and kidney through aspiration experiments

Technology and Health Care
Statistical texture characterization from discrete wavelet representations

IEEE Transactions on Image Processing
Data mining in soft computing framework: a survey

IEEE Transactions on Neural Networks

Common carotid artery condition recognition technology using waveform features extracted from ultrasound spectrum images

Journal of Systems and Software
Texture Description Through Histograms of Equivalent Patterns

Journal of Mathematical Imaging and Vision

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents a promising automotive technique for the classification of colour human tumour and nontumour tissues. The proposed classification algorithm is based on texture feature colour fuzzy texture spectrum and two more features from colour Doppler spectra. SOMs classify the tissues, which got a classification accuracy of 99.92%. Compared with other works, our method achieves good classification results on colour texture images, demonstrating the performance of our proposal.