Hardware Segmentation on Digital Microscope Images for Acute Lymphoblastic Leukemia Diagnosis Using Xilinx System Generator
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2014, Vol 5, Issue 9
Abstract
Image segmentation is considered the most critical step in image processing and helps to analyze, infer and make decisions especially in the medical field. Analyzing digital microscope images for earlier acute lymphoblastic leukemia diagnosis and treatment require sophisticated software and hardware systems. These systems must provide both highly accurate and extremely fast processing of large amounts of image data. In this work, the hardware segmentation framework for Acute Lymphoblastic Leukemia (ALL) images based color histogram of Hue channel of HSV color space is proposed to segment each leukemia image into blasts and background using Field Programmable Gate Array (FPGA). The main purpose of this work is to implement image segmentation framework in a FPGA with minimum hardware resources and low execution time to be suitable enough for medical applications. Hardware framework of segmentation is designed using Xilinx System Generator (XSG) as DSP design tool that enables the use of Simulink models, implemented in VHDL and synthesized for Xilinx SPARTAN-3E Starter kit (XC3S500E-FG320) FPGA.
Authors and Affiliations
Prof. ElDahshan, Dr. Emad Masameer, Prof. Mohammed Youssef, Mohammed Mustafa
Keywords
Related Articles
- EP ID EP88867
- DOI 10.14569/IJACSA.2014.050906
- Views 83
- Downloads 0
An Enhanced Concept based Approach for User Centered Health Information Retrieval to Address Presentation Issues
The diversity of health information seekers signifies the enormous variety of information needs by numerous users. The existing health information retrieval systems failed to address the information needs of both medical...
Revised Use Case Point (Re-UCP) Model for Software Effort Estimation
At present the most challenging issue that the software development industry encounters is less efficient management of software development budget projections. This problem has put the modern day software development co...
Image Retrieval System based on Color Global and Local Features Combined with GLCM for Texture Features
In CBIR (content-based image retrieval) features are extracted based on color, texture, and shape. There are many factors affecting the accuracy (precision) of retrieval such as number of features, type of features (loca...
Fast Vertical Mining Using Boolean Algebra
The vertical association rules mining algorithm is an efficient mining method, which makes use of support sets of frequent itemsets to calculate the support of candidate itemsets. It overcomes the disadvantage of scannin...
Defects Prediction and Prevention Approaches for Quality Software Development
The demand for distributed and complex business applications in the enterprise requires error-free and high-quality application systems. Unfortunately, most of the developed software contains certain defects which cause...