Disparity Estimation Method Based on Classification Frequency Sensitive 3D Self-Organizing Map
A self-organizing mapping and disparity estimation technology, applied in the field of image processing, can solve the problems of large amount of calculation, complex feature extraction, no disparity estimation method, etc., and achieve the effect of good quality and small amount of calculation.
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[0035] The content of the present invention will be further described in detail below in conjunction with the examples, but the embodiments of the present invention are not limited thereto.
[0036] A disparity estimation method based on classification frequency-sensitive three-dimensional self-organizing map, comprising the following steps:
[0037] Step 1) Build a training vector set, see figure 1 .
[0038] Step 1.1) Divide each frame of disparity sequence samples into 8×8 sub-blocks to obtain the total training vector set.
[0039] Step 1.2) Classify the image blocks according to the brightness. The number of classifications is determined according to needs. In the invention, the image blocks are divided into two categories, that is, the training vector set of the high-brightness area and the training vector set of the low-brightness area. The classification method can use the equal division method, that is, all image blocks are divided into two categories according to ...
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