This part handles the image processing of colored images either as indexed images or RGB images.
Image Processing: The Fundamentals
Compression deals with the techniques for reducing the storage space required to save an image or the bandwidth required to transmit it. This is particularly useful for displaying images on the internet as if the size of the image is large, then it uses more bandwidth data to display the image from the server and also increases the loading speed of the website. It deals with extracting image components that are useful in representation and description of shape.
It includes basic morphological operations like erosion and dilation.
As seen from the block diagram above that the outputs of morphological processing generally are image attributes. It is generally used to locate objects and boundaries in objects. It is the process that assigns a label e.
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View Student Companion Site. She has recently co-edited a book on the human visual system published in July by Artech House. Professor Petrou has also published more than 10 book chapters.
He now works as an independent software consultant in Thessaloniki, Greece. Request permission to reuse content from this site.
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Fundamentals of Digital Image Processing: A Practical Approach with Examples in Matlab
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Digital Image Processing Basics - GeeksforGeeks
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