LEUKAEMIA DIAGONSIS USING TONGUE IMAGE ANALYSIS

Authors

  • Mrs. A SELVARANI ASSOCIATE PROFESSOR PANIMALAR INSTITUTE OF TECHNOLOGY
  • K KAILAASHKANNA UG SCHOLOR (ECE) PANIMALAR INSTITUTE OF TECHNOLOGY
  • C ISAAC UG SCHOLOR (ECE) PANIMALAR INSTITUTE OF TECHNOLOGY
  • DEVA VINIL UG SCHOLOR (ECE) PANIMALAR INSTITUTE OF TECHNOLOGY

Keywords:

cellular automata, bilateral filtering Hematologist

Abstract

Leukaemia occur when lot of abnormal white blood cells produced by the bone marrow. Hematologist makes
use of microscopic study of human blood , which leads to need of methods, including microscopic color
imaging, segmentation classification and clustering that can allow identification of patients suffering from
Leukaemia. The microscopic image will be examined visually by hematologist and the process is time
consuming. The proposed method uses the microscopic image to perform bilateral filtering and cellular
automata. Image is segmented based on color codes and analyzed. This method can overcome the constraints
in existing system.

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Published

2018-03-25

How to Cite

Mrs. A SELVARANI, K KAILAASHKANNA, C ISAAC, & DEVA VINIL. (2018). LEUKAEMIA DIAGONSIS USING TONGUE IMAGE ANALYSIS. International Journal of Advance Research in Engineering, Science & Technology, 5(3), 787–794. Retrieved from https://ijarest.org/index.php/ijarest/article/view/1345

Issue

Vol. 5 No. 3 (2018): Volume: 05, Issue: 03 - March, 2018.

Section

Articles