2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

Imaging Without Borders

2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

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Paper Detail

Paper IDARS-8.7
Paper Title IMAGE MATCHING USING ENHANCEMENT OFFSETS WITH ADAPTIVE PARAMETER SELECTION VIA HISTOGRAM ANALYSIS
Authors Jonathan Psaila, Thanh Hong-Phuoc, Ling Guan, Ryerson University, Canada
SessionARS-8: Image and Video Mid-Level Analysis
LocationArea I
Session Time:Monday, 20 September, 13:30 - 15:00
Presentation Time:Monday, 20 September, 13:30 - 15:00
Presentation Poster
Topic Image and Video Analysis, Synthesis, and Retrieval: Image & Video Mid-Level Analysis
IEEE Xplore Open Preview  Click here to view in IEEE Xplore
Abstract In this paper, an algorithm for improved image matching is presented using enhancement offsets that are created dynamically with adaptive parameter selection. The algorithm operates by analyzing an input image and building image offsets to improve colour contrast, non-uniform illumination and lack of detail which allows for additional keypoints to be detected by numerous different detectors. Keypoint detection testing on the enhanced images is conducted, as well as image matching using SIFT and SURF. It is quantitatively shown that the proposed algorithm results in visual improvements, as well as in additional, stronger keypoints being detected in all images irrespective of the detector used. Matching experiments are conducted using the Webcam and Oxford/EF datasets wherein the proposed algorithm consistently outputs more correct matches and achieves higher or comparable matching accuracy over other related enhancement algorithms using SIFT and SURF.