Contains image processing applications. This repository serves as a valuable resource for learning and understanding image processing concepts and algorithms.
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Updated
Apr 20, 2025 - Python
Contains image processing applications. This repository serves as a valuable resource for learning and understanding image processing concepts and algorithms.
Applying a color threshold in the HLS color space
Fingerprint recognition system using Euclidean distance and OpenCV for biometric matching with dynamic thresholding
CVA highlights shifts in the process mean, making it particularly effective for detecting small changes.
Extreme Value Theory EVT Peak-Over-Threshold POT method implementation using maximum likelihood approach with Tensorflow . Use this to calculate anomaly thresholds
Active metrics monitoring if the monitored metric exceed a predefined threshold
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.
Algorithm for re-clustering a dataset based on user defined thresholds. Example set uses the United States Census with thresholds of population and distance.
I explored OpenCV's capabilities in working with video and webcam input, including real-time video capture. I also learned essential image processing techniques like filtering, blurring, edge detection, and thresholding. These foundational skills are crucial for building computer vision applications.
Password Generator
Program sederhana dengan menggunakan Bahasa Pemrograman Python dan library Open-CV untuk membantu tenaga medis dalam mendeteksi seseorang terkena penyakit covid-19 atau tidak. Program sibuat untuk meningkatkan kualitas citra input menjadi lebih baik dengan meningkatkan kontras dan mengurangi noise, serta tenaga medis juga dapat fokus pada bagian…
Making Optical character recognition (OCR) app using Python and Kivy. This project is based on only image processing without any machine learning or deep learning methods.
This is a Streamlit app that allows users to upload an image of a PAN card and detect if there has been any tampering. The app also calculates the structural similarity index (SSIM) between the uploaded image and a reference image to validate the ID.
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