Identifies holes for nuts from a given image.
-
Updated
Oct 26, 2017 - Python
Identifies holes for nuts from a given image.
Bootstrap the Votic GF morphology resource using pextract
Repository of test data from COLING 2018 paper by Makarov and Clematide
Medical Image processing and segmentation for the automatic detection and counting of blood platelets and WBCs.
Mathematical morphology library for Python, made from scratch.
One big project with many features like Average, Median, Gauss, Sobel, Laplas, Slysing, Histograms, Morphology, Transforms, Detection, Shape Detection. It is a Win32API with GUI.
Segmentation of vascular bundles and morphological parameter measurement
Morpheus morphological analysis engine used by morph.perseids.org
The Video Subtitles Detector is designed to detect and highlight subtitles within a video. It identifies the area containing the subtitles by drawing bounding boxes around them and further detects the location of each word within the subtitles. The program processes the video using basic filters and morphological operations.
Common infrastructure for building parsers and working with citable morphological datasets.
A small but powerful java program for generating complex linguistic syntax trees
A collection of training and evaluation data for Morpher
This repository contains a framework with a GPU implementation of generalized convolution operators. The framework is designed for large image data sets and can run in a distributed system.
Deliverables relating to the Principles of Computer Vision for AI University Unit
Wasim is a web-based tool for semi-automatic morphosyntactic annotation of inflectional languages resources. It features high flexibility in segmenting tokens, editing, diacritizing, and labelling tokens and segments.
A GUI environment for rendering, correcting, and converting between SWC and HOC formats of neuron model data.
Add a description, image, and links to the morphology topic page so that developers can more easily learn about it.
To associate your repository with the morphology topic, visit your repo's landing page and select "manage topics."