DIGITAL IMAGE PROCESSING (DIP)- IMAGE SEGMENTATION MCQ

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Title
Lines are referred as
LOG stands for
Summation square and square root are called
The magnitude of vector is its
Second derivative approximation says that values of constant intensities must be
Gradient image is formed by the component
Double line effect is produced by
Local averaging
Digital images have edges that are
Edges arise between thin objects and backgrounds are
For edge detection we observes
For diagonal edge detection we use
Thresholding is the example of
Algorithm stating that boundaries of the image are different from background is
Intersection between zero intensity and extreme of second derivative is called
Edge detection has fundamental
Regions of the image must be
More smoothness is created by the mask of size
The direction of angle to the gradient is
Second derivative approximation says that value at end of ramp must be

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