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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Q. Segmentation is difficult for images that are

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Q. First derivative approximation says that value at ramp must be

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Q. Edge models are classified based upon their

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Q. Gradient of an image is obtained through

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Q. Examples of similarity approach in segmentation are

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Q. What is the Euler number of the image shown below?

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