Using Aspect Ratio to Classify Red Blood Images
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2013, Vol 13, Issue 4
Abstract
In automated medical diagnosis, shape plays a key role in image processing and pattern matching. In particular, microscopic visual examination, as used in this paper, extensively uses shape to diagnose anemia using the shapes of Red Blood Cells (RBCs). This automated process depends entirely on the ability of the mammalian RBCs to change shape causing some types of anemia, which makes use of cell-discrimination on these varying RBC shapes an effective method of diagnosing anemia. In this automated diagnosis, image processing and pattern matching follows four steps: shape extraction, shape representation, shape size normalization and application of Fourier descriptors to obtain shapes of normal and abnormal RBCs. In testing the results, a client-server computer program applies invariant-moments to filter irrelevant shapes from the query, and aspect ratio of RBCs to improve on shape retrieval and verify results whereas increasing the geometrical number to reduces this accuracy by 10% to a promising 90%
Authors and Affiliations
Sherna Toma
Big Data on Content Credibility of Social Networking Sites and Instant Messaging Applications
Abstract: The quantity of unstructured and structured data from social networking platforms and mobile phone instant messaging applications is massive and is produced at an exponential rate yet there is no mechanism to v...
Privacy Issues In Cloud Computing
Abstract: Cloud computing is the delivery of computing as a service rather than a product. It provides shared resources, software, and information to computers and other devices over a network. The increasing network ban...
A Novel Irreversible Transformation Scheme for Biometric Template Protection
Abstract: Modern biometric technologies claim to provide alternative solution to traditional authentication processes. Even though there are various advantages of biometric process, it is vulnerable to attacks which can...
Comparing the performance of various filters on stoned kidney images
Abstract: Noise removing is the most important task for biomedical image analysis. Noise is always presents in ultrasound digital images during image acquisition. Filtering is a tool for noise removing. In this paper wec...
Mapping and Analysis of Crime in Aurangabad City using GIS
Abstract: The study of Earth and its features with the help of Remote Sensing has lead to a fast growing and effective technology called Geographic Information System (GIS) where digital Maps and spatial data can be used...