A SetpitextOFF Algorithm-Based Fast Image Projection Analysis
This paper proposes a novel image analysis algorithm called setpitextOFF algorithm for image texture interspacing, retrieving the OFF image pixels, run-length pixels block mapping and image fast projection. To explore the Implementation of Image Analysis, we combine the pixels at different space locations with similar retrieving dependencies as a space vector and mapped the space vectors to form interdependency setpi clusters by context building, these setpi clusters were analysed for the proposed setpitextOFF algorithm. Thereafter, we have formulated a double-setpi cluster to regularize the proposed algorithm implementation in a communication channel. Our proposed algorithm used less time to compute with more accuracy in quality performance metrics comparatively. Our proposed research work can be implemented in any digital communication link, for Video, Image and Data analysis.
KeywordsImage analysis Texture Mapping Compute Communication link
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