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Digital functions\' derivatives are defined as
For line detection we use mask that is
Gradient computation equation is
For finding horizontal lines we use mask of values
If the inner region of the object is textured then approach we use is
The horizontal gradient pixels are denoted by
To avoid the negative values taking absolute values in lapacian image doubles
First derivative approximation says that values of constant intensities must be
For finding lines at angle 45 we use mask of values
Second derivative approximation says that values along the ramp must be
Ri is a connected set, where is
Gradient magnitude images are more useful in
Image having gradient pixels is called
In laplacian images light shades of gray level is represented by
For noise reduction we use
Diagonal lines are angles at
Transition between objects and background shows
Horizontal lines are angles at
Standard deviation is referred to as noiseless if having the value
For edge detection we use
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