Q. Pixel to pixel movement of center and to define neighborhood is

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Q. Low pass filters promotes

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Q. Power law transformation is also called

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Q. In bit plane slicing 8 bit image will have

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Q. Process involved in linear spatial filtering is

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Q. The inverse of the nth root function in image processing is

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Q. Intensity level slicing is useful in

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Q. In the formula s = clog(1+r), r ranges

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Q. Bit plane slicing is used in

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Q. Smallest possible neighbor hood in a image must be of size

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Q. The values of pixels in image processing are related by the expression

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Q. Negative of the image having intensity values [0,L-1] is expressed by

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Q. Probability density functions are always

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Q. Negative of the image is

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Q. The origin of the digital image lies at

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Q. Process of manipulating the digital image to make results more suitable is called

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Q. Spatial filtering method uses

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Q. The simplest piecewise linear transformation function is

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Q. The inverse of the negative function in image processing is

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Q. The process of highlighting the specific range of intensities is called

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