A Novel Technique Based on Visual Words Fusion Analysis of Sparse Features for Effective Content-Based Image Retrieval

<div>Performance comparison in terms of MAP performance between the proposed techniques based on features fusion, standalone SIFT, and standalone LIOP features on different sizes of the dictionary on the Caltech-256 image collection.</div>

Mathematical Problems in Engineering

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Figure 11

Figure 11: A Novel Technique Based on Visual Words Fusion Analysis of Sparse Features for Effective Content-Based Image Retrieval 