Color Recognition in Images

A monitor or TV screen basically generates three types of colors, i.e., red, green, and yellow. But the combination and intensities of these three colors make various colors. Thus, each color has its unique HSV color code. For finding the specified color in the given image, we need to use the lower and upper bound of that color.

Example: For finding the green color in the image, we need to specify the lower and upper HSV color code for green color as follows.

lower=np.array([50, 100,100])
upper=np.array([70, 255, 255])

Color Identification in Images using Python – OpenCV

An open-source library in Python, OpenCV is basically used for image and video processing. Not only supported by any system, such as Windows, Linux, Mac, etc. but also it can be run in any programming language like Python, C++, Java, etc. OpenCV also allows you to identify color in images. Don’t you know how to find these colors in images?

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Color Recognition in Images

A monitor or TV screen basically generates three types of colors, i.e., red, green, and yellow. But the combination and intensities of these three colors make various colors. Thus, each color has its unique HSV color code. For finding the specified color in the given image, we need to use the lower and upper bound of that color....

How to identify color in OpenCV?

Let’s try to practically implement this method. For instance, consider the below-given page source. In this source code, we are finding the green color in the shapes.jpg image. The image used in the example given below...

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