Counts, sizes, and provides basic size metrics of objects in an image of a population sample. Designed for oblong objects on contrasting background. Windows, Linux, macOS

The "LUNG-CANCER-DETECTION" utilizes convolutional neural networks for lung segmentation and cancer detection on CT scan images, employing datasets and advanced image processing techniques.

Simple implementation of image segmentation using the Watershed algorithm

Repository with Machine Vision Projects

Counting rice grain and detecting the broken rice grains in the image. Solving the Touching grain problems using WaterShed algorithm.

A snakemake pipeline to perform cell segmentation on MERFISH spatial transcriptomics data.

watershed cuts, O(n) algorithm for watersheds

Computer Vision Programs

Using an efficient Graph-Based approach, analyze a collection of Arecanut images to determine the quantity of Arecanuts in each cluster. Then, extrapolate the total number of nuts within the entire yield based on the individual counts from each cluster.

Create a precise and efficient method for recognizing and segmenting brain tumours from MRI images. It entails pre-processing MRI images with image processing techniques and applying segmentation algorithms to accurately detect the tumour region.

Desarrollo e implementación de un algoritmo de detección y conteo de leucocitos para el diagnóstico de malaria mediante la técnica de gota gruesa (imágenes de gota gruesa). El algoritmo debe generalizar el proceso de detección y conteo para todas las imágenes.

Image Segmentation and Custom Seeds with Watershed Algorithm

animal-behavior-analysis is a Python repository to analyze animal behavior in an unsupervised fashion. It uses UMAP dimensionality reduction and watershed segmentation to classify preprocessed animal behavior data obtained from video-tracking animal body parts with LEAP or DeepLabCut.

Project on Streak flow for Crowd Segmentation

DICOM image segmentation implementation

With the given a set of images of the Arecanuts yield, count the number of Arecanuts available in each bunch and based on the count obtained from each bunch, estimate the total number of nuts available from the yield using efficient Graph Based approach.

Watershed segmentation (using ordered priority queue) implemented in MatLab.

Image analysis pipelines for double stained urothelial carcinoma samples featuring the watershed-based algorithm and template matching techniques.