A feature description method of target detection area based on first-order and second-order merging
A target detection and area feature technology, applied in the field of image processing, can solve problems such as single target detection area, inability to apply to target types, etc.
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[0027] In order to describe the content of the present invention conveniently, some existing terms are defined first.
[0028] HOG: The core idea of the HOG (Histogram of Oriented Gradient, histogram of oriented gradient) descriptor is that the appearance and shape of an object in an image can be well described by the pixel intensity gradient or the direction distribution of the edge. The implementation method is to first divide the image into small connected regions called grid cells; then collect the gradient direction or edge direction histogram of each pixel in the grid cell; finally combine these histograms to form a feature descriptor.
[0029] SIFT feature descriptor: SIFT (Scale-InvariantFeatureTransform, scale-invariant feature transformation) feature is a local descriptor based on scale space, which is invariant to image translation, scaling, and rotation, and has illumination changes, affine transformations, and projections. It has good robustness and is widely us...
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