Laser & Optoelectronics Progress, Volume. 59, Issue 16, 1610012(2022)
Information Enhancement Method for Surface Disease Images of Ancient City Walls Based on Adaptive Correction of Illumination Component
Fig. 1. Changes of image brightness before and after correction under different lighting conditions. (a) 2D-Gamma function; (b) enhanced 2D-Gamma function
Fig. 2. Image comparison before and after the enhanced 2D-Gamma function correction. (a) Before the enhanced 2D-Gamma function correction; (b) after the enhanced 2D-Gamma function correction
Fig. 3. Block diagram of homomorphic filtering algorithm
Fig. 4. Homomorphic filter transfer function
Fig. 5. Comparison of brightness histograms of images before and after correction. (a) Brightness histogram before correction; (b) brightness histogram after correction
Fig. 6. Influence of the weight coefficient on the uniformity of illumination
Fig. 7. Image comparison before and after linear weighted fusion. (a) Homomorphic filtered image; (b) linearly weighted fusion image
Fig. 8. Accuracy of edge extraction operator for disease recognition
Fig. 9. Influence of different weighting factors ε on the accuracy of city wall disease recognition
Fig. 10. Flow chart of the proposed method
Fig. 11. Four algorithm processing results. (a) Original images; (b) Gamma function;(c)homomorphic filtering;(d)Enlighten GAN;(e)proposed method
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Jin Wang, Huiqin Wang, Ke Wang, Zhan Wang. Information Enhancement Method for Surface Disease Images of Ancient City Walls Based on Adaptive Correction of Illumination Component[J]. Laser & Optoelectronics Progress, 2022, 59(16): 1610012
Category: Image Processing
Received: Sep. 14, 2021
Accepted: Sep. 23, 2021
Published Online: Jul. 22, 2022
The Author Email: Wang Huiqin (hqwang@xauat.edu.cn)