Detection and Counting of Red Blood Cells in Blood Cell Images using Hough Transform
نویسندگان
چکیده
Counting of red blood cells (rbc) in blood cell images is very important to detect as well as to follow the process of treatment of many diseases like anaemia, leukaemia etc. However, locating, identifying and counting of -red blood cells manually are tedious and time-consuming that could be simplified by means of automatic analysis, in which segmentation is a crucial step. In this paper, we present an approach to automatic segmentation and counting of red blood cells in microscopic blood cell images using Hough Transform. Detection and counting of rbc have been done on five microscopic images and finally discussion has been made by comparing the results achieved by the proposed method and the conventional manual counting method.
منابع مشابه
Detection of Microaneurysms in Retinal Angiography Images Using the Circular Hough Transform
This paper presents an automated method for detecting microaneurysms in the retinal angiographic images by using image processing techniques. In the presented method, in order to fade or remove the pseudo images, first retinal images are pre-processed. Then microaneurysms are identified by circular Hough transform. In the existing methods of dete...
متن کاملDetection of Microaneurysms in Retinal Angiography Images Using the Circular Hough Transform
This paper presents an automated method for detecting microaneurysms in the retinal angiographic images by using image processing techniques. In the presented method, in order to fade or remove the pseudo images, first retinal images are pre-processed. Then microaneurysms are identified by circular Hough transform. In the existing methods of dete...
متن کاملImage De-Noising and Micro Crack Detection of Solar Cells
Solar cell is known as a sustainable and environment friendly source of energy in nature. It converts sunlight directly into electricity with zero emission and also without side-effects on the environment. But, solar cells have optical and mechanical defects which include the type of micro crack, the size of crack, and the noise from electrical or electromechanical interference during the image...
متن کاملComparative Analysis of White Blood Cell by Different Segmentation Methods Using Knowledge Based Learning
Blood cells extraction and detection is very much important for all human beings, because there are WBCs, RBCs, Platelets in our blood, White blood cell count gives the vital information that help diagnosis many of the patient’s sickness. This work presents a new adaptive approach of extracting and detecting the WBCs in blood sample microscopic images. In the research work the author used two d...
متن کاملDevelopment Hough transform to detect straight lines using pre-processing filter
Image recognition is one of the most important field in image processing that in recent decades had much attention .Due to expansion of related fields with image processing and various application of this science in machine vision, military science, geography, aerospace and artificial intelligence and lots of other aspects, out stand the importance of this subject.One of the most important aspe...
متن کامل