HSV-Color-Detector-On-Images

HSV Color Detecting with OpenCV

This Python project uses OpenCV to perform real-time color-based image segmentation and filtering. It provides a simple graphical interface with trackbars for adjusting the color range in terms of hue, saturation, and value (HSV). The program loads an image, applies the selected color range as a mask, and displays the original image, the HSV representation, the mask, and the filtered image in a stacked layout. Users can fine-tune the color filtering settings with the trackbars.

Features

• Real-time color filtering using trackbars.
• Visualization of the original image, HSV representation, color mask, and filtered result.
• Interactive image editing for computer vision and image processing tasks.

Prerequisites

• Python
• OpenCV (cv2)
• NumPy (numpy)

Getting Started

1. Clone this repository to your local machine.
2. Ensure you have Python and the required libraries installed.
3. Ensure you have PyCharm.
4. Install opencv-python library
5. Run main.py