What are the different methods of image segmentation?

What are the different methods of image segmentation?

Image segmentation methods can be broadly categorized into three types: thresholding, clustering, and deep learning methods.

Can you explain thresholding in more detail?

Thresholding is a simple method that converts a grayscale image into a binary image by selecting a threshold value. Pixels above the threshold are set to one value (usually white), and those below are set to another (usually black).

What about clustering methods?

Clustering methods, like K-means, group pixels based on color similarity. Each pixel is assigned to the nearest cluster center, effectively segmenting the image.

How does deep learning improve image segmentation?

Deep learning methods, such as convolutional neural networks (CNNs), learn complex patterns in images, allowing for more accurate and detailed segmentation.