Laser & Optoelectronics Progress, Volume. 56, Issue 24, 241004(2019)
Elimination of Interferential Text from Images Based on Total Variation Model
Fig. 1. Schematic of area containing texts and its outer neighborhood
Fig. 2. Schematic of pixels with text interference and their neighborhood points
Fig. 3. Image with text interference
Fig. 4. Detection for text interference. (a) Detection result of edge in
Fig. 5. Location of interference text. (a) Connected domain processed by morphology; (b) result after removing connected domain with few pixels
Fig. 6. Images obtained by morphological processing and removing small connected domain. (a) Gray scale corresponding to image to be repaired; (b) gray scale after binarization
Fig. 7. Location of interference text. (a) Mask pattern; (b) image with text to be processed
Fig. 8. Result after eliminating interference text in image by using TV model. (a) 5 iterations; (b) 60 iterations
Fig. 9. Results after eliminating interference text in image by using TV model with different iterations. (a) Image to be processed; (b) 50 iterations; (c) 100 iterations; (d) 300 iterations
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Jianlong Dong, Haoquan Wang. Elimination of Interferential Text from Images Based on Total Variation Model[J]. Laser & Optoelectronics Progress, 2019, 56(24): 241004
Category: Image Processing
Received: Apr. 11, 2019
Accepted: Jun. 5, 2019
Published Online: Nov. 26, 2019
The Author Email: Dong Jianlong (120126130@qq.com)