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To avoid the negative values in lapacian image we use only
Masks for detection of specific lines are called
Line whose length and width is of one pixel is called
Detection of edge points is edge detection\'s
Intersection of two connected sets of an image should be
Isotropic detectors are independent of
For finding vertical lines we use mask of values
For diagonal edge detection we use 2D mask of
For finding lines at angle -45 we use mask of values
Gradient vector is also called
First and second derivatives can be computed using
First derivatives are positive at points on
For finding edge strength approach that is used is
Image segment methods are of
Thresholding gradient image produces good
Laplacian detector is
Slope of the ramp and degree of blurring are
One that is more sensitive to noise is
Success of image segmentation is determined by its
Second derivatives in image segmentation produces
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