Pravin Yannawar

Multi-Resolution System for MRI (Magnetic Resonance Imaging) Image Compression: A Heterogeneous Wavelet Filters Bank Approach

In telemedicine, the storage of image and forwarding of image requires high storage space and high bandwidth respectively. To save the storage space and to reduce the bandwidth for communication; the image is to be compressed. Recently the multi-resolution technique by wavelet transform has emerged as a cutting edge technology within the field of image analysis and compression. Relatively new class of wavelets called multiwavelet; are new addition to the body of wavelet theory. Realizable as matrix-valued filter banks leading to wavelet basis, were introduced and which are able to posses all desirable properties like orthogonality, symmetry, and short support etc. simultaneously, which are needed for better performance compression. In this paper we have proposed a heterogeneous wavelet filter approach for MRI image compression. The performance of the proposed method is compared and analyzed in detail and the promising results and findings are presented.

A Robust Voice-Based Color Object Detection System for Robot

The robot is an intelligent machine or intelligent agent. When the concept of artificial intelligence is applied to machines, it mimics the functions performed by human such as decision making, learning, recognition, problem solving. The robot exactly mimics the function of humans. Automatic color object detection and tracking of it by listening audio instruction is a function performed by every human. The proposed system receives acoustic instruction as an input and analyzes the video frames and output, the location of a moving object within the video frames. The aim is to implement this system for robots, so it will behave like the human.