Q. Edge localization id edge detection's

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Q. To avoid the negative values in lapacian image we use only

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Q. Masks for detection of specific lines are called

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Q. Line whose length and width is of one pixel is called

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Q. Detection of edge points is edge detection's

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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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