Yash Bachwana

Background

Corners are features which are distinctive and reasonably invariant to viewpoint. In flat regions, regardless of the direction in which we move the window, the gradient magnitude and orientation of pixels do not change. This means there is no distinctive key point (pixel) in this region, as all pixels are the same.

Background

Edge detection is a fundamental technique in image processing used to segment images by identifying regions with abrupt (local) changes in intensity. Edge pixels are those where the intensity of an image changes sharply, and edges (or edge segments) are continuous sets of such edge pixels. Detecting these abrupt changes is crucial for understanding the structure and features within an image.

I am a third-year junior undergraduate in electrical engineering at the Indian Institute of Technology, Gandhinagar. Without any attempt to explore my major discipline, I started with coding, learning DSA and rushing behind code forces ratings. At the beginning of my second year, a core course in Signal Processing gave me a significantly different perspective, which I would say brought a meaning to my engineering journey. In an attempt to explore more, I started with a project in Digital signal processing in my early 2nd year without any knowledge of the direction ahead. Having a sense of the charm of Machine Learning, I decided to take up a course offered at our college in my third year. Simultaneously, I took up a Machine Learning project, which further polished my understanding.