ResearchBib Share Your Research, Maximize Your Social Impacts
Sign for Notice Everyday Sign up >> Login

Color-Based Clustering Algorithms Segmentation of Malignant Leukemia Cells

Journal: International Journal of Science and Research (IJSR) (Vol.11, No. 2)

Publication Date:

Authors : ; ; ; ; ; ; ;

Page : 1220-1223

Keywords : Color-based; Clustering; Segmentation; Leukemia Cells;

Source : Downloadexternal Find it from : Google Scholarexternal


Doctors separate items using microscopic photography in order to see details of leukemia cells that were not evident in the initial image. The process of modifying or transferring photographs is referred to as "image augmentation. " When some features of a photograph are improved, unintended consequences can emerge. We created a new nonlinear approach for enhancing the contrast of soft tissues in microscopic imaging images by combining clipping and nonlinear binning procedures in order to get the highest possible image quality following denoising and color-based clustering filtering. To get non-optional results, the Gaussian and Poisson distributions exaggerate noise variance in low-intensity regions (low photon counts), while underestimating it in high-intensity parts (high photon counts). In two independent studies, the MatLab application was utilized to collect and analyze the contrast enhancement results from ten images taken during two separate tests. To estimate the proper number of bins or, more accurately, grey levels, the entropy and average distance between a gray-level histogram and the contrast enhancement function's curve must be calculated. Histogram.

Last modified: 2022-05-14 21:00:31