There are 0 repository under otsu topic.
Image Processing: Segmentation Using Otsu Threshold Method
parallel image processing algorithms using pymp
A Canny edge detection function implemented by us from scratch that can use either double thresholding, recursion, or the otsu's thresholding method for an adaptive threshold. Algorithm used for Otsu's method and the recursive approach can be seen in the papers included in this repository.
Satellite library(fft, variogram,...)
Two-Stage Multithreshold Otsu method.
Simple image filtering and segmentation on MCU and FPGA
Convex Polygon Detection
Proyecto que consiste en segmentar y reconocer los caracteres de una matricula de coche
Prewitt edge detector: gradient filter és nonmaxima-suppression (NMS), Thresholding algorithm by Otsu, Detection of circular object by edge detection and Hough transform for circles, Motion tracking of feature points and dense optical flow
Implementation of a Shape Detection pipeline for recognizing those famous traffic bollards found in Amsterdam without any Image Processing libraries
Using together cv2's findcontours and Haarcascade license plate detection together with the application of an extensive set of filters
From some files of images and labels obtained by applying the project presented at https://github.com/ashok426/Vehicle-number-plate-recognition-YOLOv5, the images of license plates are filtered through a threshold that allows a better recognition of the license plate numbers by pytesseract. On 05/23/2022, a new version is introduced. On 07/04/2022 an ML version es added
Using Otsu's thresholding for text segmentation on images of sticky notes.
Counting cells in a blood smear using convolution as the pattern matching strategy
A playing card detection plugin for ImageJ.
Java implementation of the otsu algorithm for image binarization
Files accompanying the paper "Segmentation of Blood Cell Images Using Evolutionary Methods", published in 2013.
Proyecto de prácticas de la asignatura Inteligencia Ambiental.
An Editor to perform rotation,conversion of the color model,Histogram equalization,Histogram chart,Mean filtering,and converting to the binary color of an image.
Through the use of Contrast Limited Adaptive Histogram Equalization (CLAHE) filters, completed with otsu filters, a direct reading of car license plates with success rates above 70% and an acceptable time is achieved
A recognition licenses plates based in FindContours
From images of cars in which their license plates have been labeled, and passing filters, their recognition is attempted by pytesseract . As there is not a single filter that works for all the licensess, it is tried with several filters and The license plate number that has been detected the most times is assigned.
OCR from scratch using Chars74 Dataset: http://www.ee.surrey.ac.uk/CVSSP/demos/chars74k/ applied to the case of Spanish car license plates or any other with format NNNNAAA. The hit rate is lower than that achieved by pytesseract: in a test with 21 images, 12 hits are reached while with pytesseract the hits are 17.
Character recognition on the street sign in Indonesian Cities
Basic numpy implementation of Otsu and Niblack algoritms
`torch.compile`-compatible image binarization algorithm implemented in PyTorch.
OTSU method is a global adaptive binarization threshold image segmentation algorithm.