It’s a way of creating a binary or multi-color image based on setting a threshold value on the pixel intensity of the original image. Image thresholding segmentation is a simple form of image segmentation. More on Machine Learning: Understanding and Building Neural Network (NN) Models In this article, we will cover threshold-based, edge-based, region-based and clustering-based image segmentation techniques. Artificial neural network-based segmentation. ![]() There are five common image segmentation techniques. More on Machine Learning: Beginner’s Guide to VGG16 Implementation in Keras Line, point and edge detection techniques use this type of approach for obtaining intermediate segmentation results that can later be processed to obtain the final segmented image. ![]()
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