Q. What is the Second Derivative of Image Sharpening called?

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Q. The ability that rotating the image and applying the filter gives the same result, as applying the filter to the image first, and then rotating it, is called _____________

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Q. For a function f(x,y), the gradient of ‘f’ at coordinates (x,y) is defined as a ___________

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Q. Where do you find frequent use of Gradient?

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Q. Which of the following occurs in Unsharp Masking?

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Q. Which of the following make an image difficult to enhance?

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Q. Which of the following is a second-order derivative operator?

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Q. Response of the gradient to noise and fine detail is _____________ the Laplacian’s.

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Q. Dark characteristics in an image are better solved using ___________

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Q. What is the smallest possible value of a gradient image?

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Q. Which of the following fails to work on dark intensity distributions?

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Q. _____________ is used to detect diseases such as bone infection and tumors.

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Q. How do you bring out more of the skeletal detail from a Nuclear Whole Body Bone Scan?

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Q. An alternate approach to median filtering is ______________

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Q. Final step of enhancement lies in _____________ of the sharpened image.

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Q. What is accepting or rejecting certain frequency components called as?

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Q. A filter that passes low frequencies is _____________

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Q. What is the process of moving a filter mask over the image and computing the sum of products at each location called as?

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Q. The standard deviation controls ___________ of the bell (2-D Gaussian function of bell shape).

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Q. What is required to generate an M X N linear spatial filter?

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