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Fundamental components of digital image processing?
The fundamental components of digital image processing are computer-based algorithms. Digital image processing allows a much wider range of algorithms to be applied to the input data and can avoid problems such as the build-up of noise and signal distortion during processing.
What is digital image processing?
Image processing is the method of processing data in the form of an image. Image processing is not just the processing of image but also the processing of any data as an image. It provides security.
What are the differences between Image processing and computer vision?
§ Image processing tends to focus on 2D images, how to transform one image to another by pixel-wise operations, such as noise removal, edge detection, etc. whereas computer vision includes 3D analysis from 2D images. § As inferred from above, image processing does not require any assumptions, nor does it produce any interpretations about the image content, whereas computer vision often relies on more or less complex assumptions about the scene depicted in an image. § The output of image processing is another image whereas the output of computer vision is generally information in the form of a decision or data. § Image processing is a subset of computer vision.
Classification or types of image processing?
Image Processing classify as three type. (1) Low level image processing (noise removal, image sharpening, contrast enhancement) (2) Mid level image processing (segmentation) (3) High level image processing (analysis based on output of segmentation)
Hardwares used in image processing?
The signal processing hardware can be used for image processing also. DSP processors like TMS 6713 can be used in image processing also. The hardware is required for image capture also.
