SJTU CS386 Digital Image Processing

Image key points Extraction, Description, Feature Matching

Projective Transformation Rectification Network Official Implementation

Performed 3-Dimensional Image processing using 3D DCT with MATLAB R2018. Inspected in depth of the abnormalities such as tumors, blood clots and parasites in the brain and heart. Examined the heart 3D model in a wide range of contrasts and saturations to observe blood flow and blockage in the arteries and in valves.

Morphological categorization of neurons in order to explore their functional features has drawn significant attention over past few decades. The enormous complexity in the structure of neurons poses a real challenge in the identification and analysis of similar and dissimilar neuronal cells. Existing methodologies often carry out strutural and g…

Exploring computer vision techniques and algorithms. Including spatial and frequency domain filtering, transformation, and color spaces.

Find parameters of similarity transformation (rotation, translation, and scaling)

My solutions (and my partner) for the practical work of the Image Processing (Traitement d'image TI) module in my 3rd year of state engineering studies at ENSTTIC

TransGeo is learning media platform based on our research for PKM 2021, "Exploration of Relational Thinking Skills in Solving Virtual Geometric Transformation Problems Through an Android-based Application"

Geometric three-point calibration

Open source scala library that provides data structures for simple geometric shapes

This is a repository of code files which can be used to perform some basic tasks & operations using OpenCV.

FRACTALS IN POLAR COORDINATES, It is fork of original code by Mika Seppä

KPI IPT course, 4 semester

3D modeling of a power generator -Renewable energy- using GLUT (OpenGL utility toolkit)

A few projects, done as part of the course work for Digital Image Processing, IIIT-D.

Este repo contiene una guía de trabajo para Transformaciones geométricas a una imagen, con la ayuda de la librería PILLOW. Esto le permite realizar diferentes operaciones como remodelar, cambiar y rotar una imagen. También tendrá la opción de aprender a aplicar algunas operaciones básicas de matriz a matriz en una imagen.