Segmentation

Segmentation is nothing but segmenting the image into multiple pixel sets. It is meant to change the representation of an image. Segmentation makes analysis more simpler as it gives another simpler view of same image. It involves locating the edges of image, objects or any other contrasting things in an image. The output of segmentation is used immensely in lots of applications. For example in medical imaging, segmentation might give you the tumor cell edge as it has greater contrast compared to the rest of image.

Different types to achieve segmentation are :-
Thresholding
Clustering methods
Compression-based methods
Histogram-based methods
Edge detection
Region growing methods
Split-and-merge methods
Partial differential equation-based methods
Graph partitioning methods
Watershed transformation
Model based segmentation
Multi-scale segmentation
Semi-automatic segmentation
Neural networks segmentation

We will look into each of these methods in seperate posts.

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