Gradient information serves several purposes. It can relate

the structure of objects in an image, identify features of interest

for recognition/classification directly or provide the basis of further

processing for various computer vision tasks. For example, "edges," noted

by regions of high gradient magnitude, are central to the task of

identifying defects in circuitry. A sample "edge-detected" image using

the Image Processing Toolbox for MATLAB is shown where

locations marked by white are those points that are indicative of high

gradient magnitude, which can also be described as regions of high

pixel contrast.-Gradient information serves several purposes.　It can relate

the structure of objects in an image, identify features of interest

for recognition/classification directly or provide the basis of further

processing for various computer vision tasks.　For example, "edges," noted

by regions of high gradient magnitude, are central to the task of　

identifying defects in circuitry.　A sample "edge-detected" image using　

the　Image Processing Toolbox　for MATLAB is shown where　

locations marked by white are those points that are indicative of high

gradient magnitude, which can also be described as regions of high

pixel contrast.