PST or Phase Stretch Transform is an operator that finds features in an image. PST implemented using MATLAB here, takes an intensity image I as its input, and returns a binary image out of the same size as I, with 1's where the function finds sharp transitions in I and 0's elsewhere.

Code for our CVPR 2019 paper "A Simple Pooling-Based Design for Real-Time Salient Object Detection"

Image Processing with Cellular Neural Networks in Python

Holistically-Nested Edge Detection

TEED: Tiny and Efficient Edge Detector

LDC: Lightweight Dense CNN for Edge Detection

Analyzed Google Satellite images to generate a report on individual house rooftop's solar power potential

RINDNet: Edge Detection for Discontinuity in Reflectance, Illumination, Normal and Depth, in ICCV 2021 (oral)

A Pytorch implementation of CASENet for the Cityscapes Dataset

Mural image inpainting, Mural damage repair, Line drawing guided image inpainting

variety of Richer Convolutional Features for Edge Detection (resnet101 based)

Computer Vision Essentials in Python Programming Language 🎉

An ascii art generator that's actually good. Does edge detection and selects the most appropriate characters.

Using pretrained hed edge detector model from caffe with opencv

Code for our IEEE TIP 2020 paper "Dynamic Feature Integration for Simultaneous Detection of Salient Object, Edge and Skeleton"

A python-based algorithm for id-card rectification

Framework for computing seismic attributes with Python.

Implementation of Hough Transform to detect Circles in an Image

A set of algorithms and other cool things that I learned while doing image processing with openCV using C++ and python.

Implementations of Fourier Transform, Laplacian Pyramids, Edge Detection