Q. Example of discontinuity approach in image segmentation is

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Q. First derivative approximation says that values of intensities at the onset must be

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Q. Image segmentation is also based on

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Q. Image whose principle features are edges is called

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Q. Vertical lines are angles at

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Q. If R is the entire region of the image then union of all segmented parts should be equal to

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Q. Mask's response to zero means

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Q. Lines in an image can be oriented at angle

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Q. Laplacian images need

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Q. For point detection we use

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Q. Textured inner region of the object produces

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Q. If the standard deviation of the pixels is positive, then sub image is labeled as

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Q. Thresholding gives the

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Q. Marr hildreth method was introduced in

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Q. Segmentation is a process of

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Q. Log function is also called

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Q. Segmentation algorithms depends on intensity values'

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Q. Sudden changes in intensity produces peak in

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Q. Ideal edges occur over the distance of

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Q. Image intensities are normally ranged to

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