Q. Intersection of two connected sets of an image should be

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Q. Isotropic detectors are independent of

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Q. For finding vertical lines we use mask of values

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Q. For diagonal edge detection we use 2D mask of

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Q. For finding lines at angle -45 we use mask of values

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Q. Gradient vector is also called

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Q. First and second derivatives can be computed using

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Q. First derivatives are positive at points on

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Q. For finding edge strength approach that is used is

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Q. Image segment methods are of

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Q. Thresholding gradient image produces good

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Q. Laplacian detector is

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Q. Slope of the ramp and degree of blurring are

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Q. One that is more sensitive to noise is

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Q. Success of image segmentation is determined by its

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Q. Second derivatives in image segmentation produces

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Q. Thresholding formulation measures difference between

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Q. Lines not assumed as thin as referred to as

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Q. If all the regions are labeled with same intensity then it produces

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Q. Electronic components determines the image's

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