otsu-threshold
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varyshare / easy_slam_tutorial
首个中文的简单从零开始实现视觉SLAM理论与实践教程，使用Python实现。包括：ORB特征点提取，对极几何，视觉里程计后端优化，实时三维重建地图。A easy SLAM practical tutorial (Python).图像处理、otsu二值化。更多其他教程我的CSDN博客
Language:Jupyter Notebook 315- nQuantCpp
mcychan / nQuantCpp
nQuantCpp includes top 6 color quantization algorithms for visual c++ producing high quality optimized images.
Language:C++ 104 mohabmes / Otsu-Thresholding
Image Processing: Segmentation Using Otsu Threshold Method
Language:Python 46JuliaImages / ImageBinarization.jl
A Julia package of algorithms for analyzing images and automatically binarizing them into background and foreground.
Language:Julia 35- nQuant.csLanguage:C# 20
lucasrla / wsi-tile-cleanup
Image filters for digital pathology: detect pen marks, background, and artifacts. Use them for preprocessing towards deep learning
Language:Python 19farkoo / Retinal-Vessel-Segmentation
In this repository, I implement a system for extract blood vessels from DRIVE images.
Language:MATLAB 18NisanurBulut / LicensePlateRecognitionSystem
It is a desktop application that performs license plate recognition from vehicle photos.
Language:C# 17A Julia package for determining thresholds by analyzing one-dimensional histograms
Language:Julia 12- SiteLanguage:HTML 10
darshan-gr / Image-Segmentation-of-2D-Images-using-Clustering-based-Image-Thresholding
Automatic thresholding of image using OTSU method
Language:Python 6- Language:MATLAB 6
franconicola / Barcodes
Estimate quality parameters for several images of linear barcodes according to the specific ISO/IEC 15416.
Language:C++ 5- nQuantGpp
nQuantGpp includes top 10 color quantization algorithms for g++ producing high quality optimized images.
Language:C++ 5 a-earthperson / Deriche-Edges-HoughTransform
Convex Polygon Detection
Language:Makefile 2abalmumcu / .pgm-file-read-manipulation-write
This repo includes; Image Negative, Logarithmic Transformation, Power-Law (Gamma) Transformation, Averaging Filter, Median Filter, Laplacian Filter, Sobel Gradiant, Histogram Equalization, DFT, Marr and Hildreth, Otsu Thresholding, Global thresholding
Language:C++ 2KentaItakura / blog-post-about-image-thresholding
2値化について説明したブログ記事のコードや本文のファイルをアップロードしています。
Language:Jupyter Notebook 2- nQuant.j2se
Fast pairwise nearest neighbor based algorithm with Java Swing
Language:Java 2 p-kostic / ShapeDetection-Amsterdammetje
Implementation of a Shape Detection pipeline for recognizing those famous traffic bollards found in Amsterdam without any Image Processing libraries
Language:C# 2philiphaddad97 / image-processing
Image Processing From Scratch in Pyhon 🐍
Language:Jupyter Notebook 2AshishPandey88 / Image-Segmentation--Impact-of-pace-of-Urbanisation-and-land-use
Application of Image Segmentation algorithms to understand “How sustainable is the pace of Urbanisation & Net land usage?” scoped on two geographical locations.
Language:Jupyter Notebook 1- Language:Jupyter Notebook 1
Tim-Dietrich / otsuThresholding
Java implementation of the otsu algorithm for image binarization
Language:Java 1evrenkaraarslan / ChangeDetection
Change detection with computer vision techniques
Language:MATLAB 0grimmdaniel / SDA-Sensor-Data-Analytics
This repository contains solutions to the assignments of the Sensor Data Analytics Course at ELTE.
Language:Python 0nphan20181 / csce5300_project
This project tests a variety of different image segmentation methods by performing image segmentation on a dataset of single-object images. We will score the results of each method by performing image classification with a single model on the segmented images and recording the accuracy. The better each object is segmented from the images the higher the accuracy of the classification model on those segmented objects. Then we will compare the scores of each method to get an idea of their strengths and weaknesses.
Language:Jupyter Notebook 0sy1wi4 / Image-Scanner
Image scanner using different thresholding methods
Language:Python 0yasinda-s / Matlab-Leaf-Detection
This matlab project segments leaves from a plant using varios pre-processing techniques followed by the watershed segmentation algorithm.
Language:MATLAB 0Ashutosh27ind / OCR_Using_Deep_learning
Use of Deep Learning for Optical Character Recognition
Language:Jupyter Notebookgosha20777 / mipt-binarization
Basic numpy implementation of Otsu and Niblack algoritms
Language:Jupyter NotebookShashwatNigam99 / Digital_Image_Processing_Assignments
All assignments completed as a part of my Digital Image Processing Course
digital-image-processingmorphological-image-processingchroma-keycontrast-stretchinghistogram-equalizationhistogram-specificationedge-detectionlaplacianprewitt-filtercanny-edge-detectionsobel-filterbilateral-filterimage-restorationfft2d-fftbutterworth-filterfrequency-analysisskeletonizationotsu-thresholdconnected-component-labellingLanguage:Jupyter Notebooksotheanithsok / CECS-553-Collection
Explore image processing techniques including edges detection, background extraction, and more.
Language:Pythonvieiraeduardos / vehicle-plate-detection-system
vehicle plate recognition and detection system
Language:PythonVijayPrakashReddy-k / Otsu-Image-Segementation
OTSU method is a global adaptive binarization threshold image segmentation algorithm.
Language:Python
