Automation of Iron Difficiency Anemia Blue and Red Cell Number Calculating by Intictinal villi Tissue Slide Images Enhancing and Processing

Abstract

Iron deficiency anemia is defined as hemoglobin concentration in blood less than 135 g/dl in adult male and less than 11.5 g/dl in females it has many symptoms (weakness, lethargy, palpitation) and less hemoglobin means less carrying oxygen to the body, the analysis of the Red blood cells that is found in the villi cells in the small intestine will give a lot of useful information about iron deficiency anemia, but the problem that this analysis is still until this century done manually and finding an algorithm to make the process of the slide image analysis automated will make a change in the analysis process so in This paper we presents a new implemented algorithm that achieves an automated way for the analysis of images taken for intestine villi and this algorithm will count the number blue and the red stained cells blood cells that contain iron in each villi alone and also calculate the percentage of blue cells and red cells in the image and this will give a lot of information that is useful and it starts from the step the follow villi image cropping and determining the ROI that we want to count the number in it and this ROI should be a complete villi or part of it.