https://github.com/spacemonochrome/circle_detect_code

OpenCV kütüphanesi ile beraber yazılmış bu python kodu çember tespiti yapabilmektedir. This Python code, written with the OpenCV library, can detect circles.
https://github.com/spacemonochrome/circle_detect_code

circle circle-detection circle-detection-algorithm geometry-processing opencv opencv-library opencv-python opnecv raspberry-pi

Last synced: about 2 months ago
JSON representation

OpenCV kütüphanesi ile beraber yazılmış bu python kodu çember tespiti yapabilmektedir. This Python code, written with the OpenCV library, can detect circles.

• Host: GitHub
• URL: https://github.com/spacemonochrome/circle_detect_code
• Owner: spacemonochrome
• License: mit
• Created: 2023-03-28T21:23:52.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2024-08-31T16:39:27.000Z (almost 2 years ago)
• Last Synced: 2025-02-12T11:53:37.204Z (over 1 year ago)
• Topics: circle, circle-detection, circle-detection-algorithm, geometry-processing, opencv, opencv-library, opencv-python, opnecv, raspberry-pi
• Language: Python
• Homepage:
• Size: 1.95 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
# Hough Dönüşümü ile çember tespiti - Determining a circle with the Hough Transform

OpenCV kütüphanesi ile beraber yazılmış bu python kodu çember tespiti yapabilmektedir. Paul Hough dönüşümünü kullanmaktadır.

Verimliliği düşüktür. Bilgisayar işlemcisinde saniye 30 kare gibi bir hızda çalışmakta lakin Raspberry Pi gibi düşük sistemli bilgisayarlarda saniyede 1 kare bile işlememektedir. verimsizdir ama gene de üstüne uğraşılmıştır. Detaylı anlatım için aşağıdaki makaleyi inceleyebilirsiniz.

This Python code, written with the OpenCV library, can detect circles. It uses the Paul Hough transformation.

Its efficiency is low. It runs at a speed of 30 frames per second on the computer processor, but it does not process even 1 frame per second on low-system computers such as Raspberry Pi. It's inefficient, but it's still worked on. For detailed explanation, you can review the article below.

[SUTIS -proceeding-book-29-33.pdf](https://github.com/spacemonochrome/circle_detect_code/files/14733551/SUTIS.-proceeding-book-29-33.pdf)

Kütüphane kurulumu - installing library

NumPy kurulumu

```bash

pip install numpy

```

OpenCV Kurulumu

```bash

pip install opencv-python

```

Girdi Görüntüsü - Input

![image](https://github.com/spacemonochrome/circle_detect_code/assets/52783312/d92b5642-72ed-487b-bdff-ddd41122de90)

Çıktı Görüntüsü - Output

![cikti](https://github.com/spacemonochrome/circle_detect_code/assets/52783312/121373dd-dd75-4e6a-ab6a-231ca015fee9)

İşlemin görselleştirilmesi - visualization of the process

![image](https://github.com/spacemonochrome/circle_detect_code/assets/52783312/5ac7036e-c14b-49e8-9bad-6494c71cc5ab)