Weighted full binary tree-sliced binary pattern: An RGB-D image descriptor.

ABSTRACT: We present an Algorithm to understand Inter-pixel similarity, which shall be observed in images with the help of a data structure Full Binary Tree. The Full Binary Tree has certain properties like every node must have 2 children or none. Based on this property of Binary Tree, the method of Sliced Binary Pattern is proposed. The inter-pixel similarity may be observed by converting any pixel information of an image within a block of size 3 × 3 to its binarized form, as the pixel information, whose similarity with neighboring pixel cannot be exploited, when it is in decimal form. Thus, we convert all pixel information within a block of size 3 × 3 to its binarized form then we compare the binary pattern of a central pixel with its 8-nearest neighbors. If there is a binary pattern match between

SUBMITTER: Ravi Kumar YB 

PROVIDER: S-EPMC7218272 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature