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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Q. Edge detector method is used to detect

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Q. Accuracy of image segmentation can be improved by the type of

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Q. During segmentation every pixel of an image should be in

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Q. The vertical gradient pixels are denoted by

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Q. For line detection we use

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Q. Marr hildreth method was introduced for

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Q. When the desired object is detected segmentation should be

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Q. Similarity approach of segmentation depends upon

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Q. For edge detection we combine gradient with

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Q. Lines are referred as

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Q. LOG stands for

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Q. Summation square and square root are called

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Q. The magnitude of vector is its

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Q. Second derivative approximation says that values of constant intensities must be

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