Laser & Optoelectronics Progress, Volume. 56, Issue 7, 071006(2019)
Scene Text Detection Algorithm Based on Color Clustering of Textual Pixels
Fig. 1. Flow chart of proposed method
Fig. 2. Color stratification process. (a) Original image; (b) distribution of all pixels in RGB space; (c) robust textual pixels; (d) distribution of only textual pixels in RGB space; (e) clustering results of textual pixels
Fig. 3. Schematic of dangle feature
Fig. 4. Comparison of color stratification results before and after grouping. (a) Original image; (b) image before improvement; (c) image after improvement
Fig. 5. Flow chart of multi-scale color clustering algorithm
Fig. 6. Original images and color stratification results. (a) Images with simple background; (b) images with complex background;(c) images with low contrast
Fig. 7. Comparison of color stratification results by different methods. (a) Original image; (b) proposed method; (c) method in Ref. [6]; (d1) result when d=24 in Ref. [10]; (d2) result when d=56 in Ref. [10]
Fig. 8. Partial text detection results
Fig. 9. Partial images under detection failure. (a) Influence of illumination; (b) text occlusion
|
|
|
Get Citation
Copy Citation Text
Min Li, Jianbin Zheng, Enqi Zhan, Yang Wang. Scene Text Detection Algorithm Based on Color Clustering of Textual Pixels[J]. Laser & Optoelectronics Progress, 2019, 56(7): 071006
Category: Image Processing
Received: Sep. 3, 2018
Accepted: Oct. 30, 2018
Published Online: Jul. 30, 2019
The Author Email: Zhan Enqi (eqzhan@whut.edu.cn)