Local Primitive Histograms for Patent Binary Image Retrieval
نویسندگان
چکیده
Local primitives are useful in the analysis, recognition and retrieval of document and patent images. In this paper, local primitives are classified in 4 and 8-directional spaces at optimally detected junction and end points by using a distance based approach. Local primitives are quantized by using a variant of Local Binary Patterns. Spatial relationships between local primitives are established by using a morphology based approach. Binary images are described by Local Primitive Histograms of the classified local primitives in 4 and 8directional spaces capturing their occurrences and pair-wise co-occurrences. Performance evaluation of the proposed Local Primitive Histograms for patent binary image retrieval shows improvement in comparison with histograms obtained by SIFT description of Local Primitives. Keywords-local primitives; spatial relationships; granulometric curve; binary image retrieval;
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