Journal of Infrared and Millimeter Waves, Volume. 43, Issue 1, 134(2024)
Near-infrared monocular vision measurement and reference image self-healing of object random rough surface
Fig. 1. Schematic diagram of reference image mosaic(a)Original image,(b)Splicing image,(c)Reference image
Fig. 2. Schematic diagram of image matching after contaminated random rough surface(a)Matching image before self-healing,(b)Matching image after self-healing
Fig. 3. Experimental curve of influence of number of characteristic points on measurement accuracy
Fig. 4. Flow chart of pose measurement of profile following rough surface
Fig. 5. Comparison of different measurement algorithms on random rough surfaces
Fig. 7. Self healing matching comparison diagram (a) Matching image before destruction,(b) Matching image after destruction,(c) Matching image after self-healing
Fig. 8. Self healing contrast experiment (a) Measurement curve before destruction of azimuth, (b) Measurement curve after destruction of azimuth, (c) Measurement curve after self-healing of azimuth, (d) Measurement curve before destruction of pitch, (e) Measurement curve after destruction of pitch, (f) Measurement curve after self-healing of pitch, (g) Measurement curve before destruction of roll, (h) Measurement curve after destruction of roll, (i) Measurement curve after self-healing of roll
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Wang HOU, Ye-Pin QU, Jian-Qiang LIU, Yu-Hai LYU. Near-infrared monocular vision measurement and reference image self-healing of object random rough surface[J]. Journal of Infrared and Millimeter Waves, 2024, 43(1): 134
Category: Research Articles
Received: Apr. 23, 2023
Accepted: --
Published Online: Dec. 26, 2023
The Author Email: Ye-Pin QU (qypin@126.com)