Reconfigurable Binary Image Processor for Brain Tumor Detection

Sibin.P.A, D. Chidhambaram

Abstract: Nowadays medical field is looking forward for the sophisticated hardware and software VLSI implementations. The next generation medical diagnosis requires fast and robust dedicated hardware for precise applications, MRI images are commonly used for tumor detection and complex hardware are necessary for its better computations. This rises the necessity of dedicated hardware for improved performance. Binary images are optimal for hardware implementation. We propose a novel method in which MRI images are converted to binary images which allows the real time hardware implementation. VLSI implementation using binary images effectively improves performance of the system in terms of reduction in computational complexity, hardware requirements, reduces memory space thus efficiently reduces cost.

Keywords: binary images, morphological filtering, k-mean filtering