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 123
- Downloads 0
Applying Diffie-Hellman Algorithm to Solve the Key Agreement Problem in Mobile Blockchain-based Sensing Applications
Mobile blockchain has achieved huge success with the integration of edge computing services. This concept, when applied in mobile crowd sensing, enables transfer of sensor data from blockchain clients to edge nodes. Edge...
Process Capability Indices under Non-Normality Conditions using Johnson Systems
Process capability indices (PCIs) quantify the ability of a process to produce on target and within specifications performances. Basic indices designed for normal processes gives flawed results for non-normal process. Nu...
CluSandra: A Framework and Algorithm for Data Stream Cluster Analysis
The clustering or partitioning of a dataset’s records into groups of similar records is an important aspect of knowledge discovery from datasets. A considerable amount of research has been applied to the identification o...
Level of Confidence in Software Effort Estimation by an Intelligent Fuzzy – Neuro - Genetic Approach
Organizations are struggling to deliver the expected software functionality and quality in scheduled time and prescribed budget. Despite availability of numerous advanced effort estimation techniques overestimation and u...
Detection of Soft Atheroscelarotic Plaques in Cardiac Computed Tomography Angiography
Computed tomography angiography (CTA) has turned non-invasive diagnosis of cardiovascular anomalies into a reality as state-of-the-art imaging equipment is capable of recording sub-millimeter details. Based on high inten...