Intelligent Classifier for WBC Physiology Assignment Based on Active Contour Model | ||
| Engineering and Technology Journal | ||
| Article 1, Volume 29, Issue 10, July 2011, Pages 1979-1990 PDF (444.75 K) | ||
| DOI: 10.30684/etj.29.10.10 | ||
| Author | ||
| Sammar Jaafar Ismail | ||
| Abstract | ||
| White blood cell (WBC) plays an important role inside human body, because it is acting as the body defense mechanism against infection and cellular injury. Segmentation in biomedical imaging often the starting point for other process. In this paper an Intelligent classifier has been used to classify the normal and abnormal WBC, this model built using MATLAB 7 package. The output from active contour model (ACM) will be the input to the intelligent classifier . The accuracy of classification is about 90% according to American Heart Association (AHA) to evaluate procedures for diagnose in biomedical applications. The approach provide a robust and accurate results. | ||
| Keywords | ||
| Active contour; Image segmentation; WBC; Pattern classification | ||
|
Statistics Article View: 144 PDF Download: 44 |
||