From the course: Hands-On AI: Image Processing with Python
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Why modify objects? - Python Tutorial
From the course: Hands-On AI: Image Processing with Python
Why modify objects?
- [Instructor] For the last application example of image processing, let's look at a series of operations, called "Morphological Transformations". These are widely used in computer vision, which is the application of computing to make sense of images and video. For example, software that recognizes handwritten text, faces or people. Morphological transformations are typically used in black and white images with "blobs", which are polygons that represent objects in a picture. These operations change the shape of blobs. So, with these operations, we can make blobs shrink and grow. To show you why we need to modify objects, let's look at a computer vision process. Suppose we have a robot that moves boxes in this warehouse. This robot must go from its starting position to a finished position where the target box is located. This is a messy warehouse, so the robot must be capable of moving around without bumping into boxes that may be lying on the floor. Looking at the size of the robot…
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