Image Processing

Brain Tissue Segmentation Using Expectation Maximization (EM)

The segmentation is an essential part of many computer vision systems and medical applications. The goal is to divide an input image into a set of non-overlapping regions which union is the entire image. The Expectation-Maximization (EM) algorithm is …

Registration as Data-Augumentation for CT

Main idea of this project was making some new data using simple registration technique from existing CT data. This code be a possible alternative of arbitrary augmentation such as flip, rotation, zoom etc. A simple but powerful non-rigid registration …

Automatic Skin Lesion Segmentation Using GrabCut in HSV Colour Space

Skin lesion segmentation is one of the first steps towards automatic Computer-Aided Diagnosis of skin cancer. Vast variety in the appearance of the skin lesion makes this task very challenging. The contribution of this paper is to apply a power …

Development of a Modular Biopotential Amplifier Trainer for Biomedical Instrumentation Laboratory Experiments

The availability of sophisticated source attribution techniques raises new concerns about privacy and anonymity of photographers, activists, and human right defenders who need to stay anonymous while spreading their images and videos. An image can be …