文件名称:harris_pudg
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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.
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.
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