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Introduction to Digital Image Processing with Matlab PDF  Form

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Hello, everyone. Paul here from MathWorks. Today I'm going to demonstrate how you can get started quickly prototyping image processing tasks in MATLAB before writing any code. In this example, we'll be working with images of thin blood smears, but I encourage you to consider how these techniques might be applied to your own image data set. The blood smears we'll be using were obtained from the Centers for Disease Control's DPDx website. Our goal is to explore options for developing an automated function to detect the presence of a parasite in these blood smears and then quantify the portion of red blood cells in the sample that are infected. The image processing toolbox comes with several interactive apps to help you get started with common image processing techniques. To begin, let's first try segmenting the individual red blood cells from the background using the Color Thresholder app. Since the blood cells are purple against a light background

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