CI001 | Published : 10- April -2018 | March-April - 2017 [(4) 5: 238-242] 2 nd International Conference on Current Research Trends in Engineering and Technology © 2018 IJSRSET | Volume 4 | Issue 5 | Print ISSN: 2395-1990 | Online ISSN : 2394-4099 Themed Section: Engineering and Technology 238 Dengue Fever Classification Based on Grey Level Co-occurrence Matrix Feature Ragini Deshmukh 1 , Dr. Sheshang Degadwala 2 , Arpana Mahajan 3 1ME Student Computer Department, Sigma Institute of Engineering, Vadodara, Gujarat, India 2Head of Department Computer Department, Sigma Institute of Engineering, Vadodara, Gujarat, India 3Assistant Professor Computer Department, Sigma Institute of Engineering, Vadodara, Gujarat, India ABSTRACT White blood cells have attracted tremendous interest in recent times due to their promise in providing innovative new treatments for a great range of currently debilitating diseases. This is due to their potential ability to regenerate and repair damaged tissue, and hence restore lost body function, in a manner beyond the body’s usual healing process. White blood cells have potential to divide themselves (through mitosis) to produce more White Blood Cells. Any disease that results in cellular and tissue destruction can potentially be treated by WBC cells. Detection of WBC cells has become an important part in modern medicine to diagnose any disease at its prior onset. But due to their characteristics to change their shape, size and colour at different intervals of time it becomes quite difficult to detect and segment them, as this research is going on to detect WBC cells by using the most efficient algorithm among all that have been studied in the literature survey. Keywords: K-means, CMYK-LAB Model, Gray level Co-occurrence Matrix (GLCM), Support Vector Machine (SVM) and Artificial Neural Network (ANN). I. INTRODUCTION White Blood Cells play a crucial role in medical therapy due to their ability to renew themselves through cell division and to differentiate into a wide range of specialized cell types. White Blood Cells motility is a useful index to evaluate the viability of the White Blood Cells. Recently, the most widely used method to observe White Blood Cell activity qualitatively is visual inspection through a microscope. However manually performing quantitative assessments of cell behavior is time consuming and prone to human error. A computer aided analysis tool is thus required for an effective analysis of White Blood Cells. Moreover detection and segmentation of White Blood Cells is difficult as White Blood Cells have special characteristics to change their shape size and color at different intervals of time. Figure 1: White Blood Cell White Blood Cells are defined by their capacity to undergo unlimited cell division and give rise to more