Image segmentation with Watershed Algorithm-OpenCV

6,000.00

Image segmentation with Watershed Algorithm-OpenCV

100 in stock

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Description

Image segmentation with Watershed Algorithm-OpenCV

Image segmentation is the process of dividing an image into multiple segments.It is very useful in finding meanings from the image.They are used in object detection of self driving cars.This approach gives oversegmented result due to noise or any other irregularities in the image. So OpenCV implemented a marker-based watershed algorithm to specify which are all valley points are to be merged and which are not. It is an interactive image segmentation. What we do is to give different labels for our object we know. Label the region which we are sure of being the foreground or object with one color (or intensity), label the region which we are sure of being background or non-object with another color and finally the region which we are not sure of anything, label it with 0. That is our marker. Then apply watershed algorithm. Then our marker will be updated with the labels we gave, and the boundaries of objects will have a value of -1.

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