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A pixel p at coordinates (x, y) has neighbors whose coordinates are given by: (x+1, y), (x-1, y), (x, y+1), (x, y-1) This set of pixels is called ____________
A pixel p at coordinates (x, y) has neighbors whose coordinates are given by: (x+1, y+1), (x+1, y-1), (x-1, y+1), (x-1, y-1) This set of pixels is called ____________
What is the set of pixels of 8-neighbors of pixel p at coordinates (x, y)?
Two pixels p and q having gray values from V, the set of gray-level values used to define adjacency, are m-adjacent if:
Let S, a subset of pixels in an image, is said to be a connected set if:
Let R be a subset of pixels in an image. How can we define the contour of R?
The domain that refers to image plane itself and the domain that refers to Fourier transform of an image is/are :
What is the technique for a gray-level transformation function called, if the transformation would be to produce an image of higher contrast than the original by darkening the levels below some gray-level m and brightening the levels above m in the original image
For Image Enhancement a general-approach is to use a function of values of f (input image) in a predefined neighborhood of (x, y) to determine the value of g (output image) at (x, y). The techniques that uses such approaches are called ________
Using gray-level transformation, the basic function linearity deals with which of the following transformation?
Using gray-level transformation, the basic function Logarithmic deals with which of the following transformation?
Using gray-level transformation, the basic function power-law deals with which of the following transformation?
If r be the gray-level of image before processing and s after processing then which expression defines the negative transformation, for the gray-level in the range [0, L-1]?
If r be the gray-level of image before processing and s after processing then which expression helps to obtain the negative of an image for the gray-level in the range [0, L-1]?
If r be the gray-level of image before processing and s after processing then which expression defines the power-law transformation, for the gray-level in the range [0, L-1]?
Which of the following transformations is particularly well suited for enhancing an image with white and gray detail embedded in dark regions of the image, especially when there is more black area in the image
Which of the following transformations expands the value of dark pixels while the higher-level values are being compressed?
Although power-law transformations are considered more versatile than log transformations for compressing of gray-levels in an image, then, how is log transformations advantageous over power-law transformations?
A typical Fourier Spectrum with spectrum value ranging from 0 to 106, which of the following transformation is better to apply
total questions: 107

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