Acta Optica Sinica, Volume. 44, Issue 21, 2115001(2024)
Feature Extraction and Recognition Method of Coal and Gangue Based on Laser Speckle Imaging
Fig. 2. Coal and gangue laser speckle images and grayscale 3D surfaces. (a) Laser speckle image of coal; (b) laser speckle image of gangue; (c) grayscale 3D surface of coal laser speckle image; (d) grayscale 3D surface of gangue laser speckle image
Fig. 3. Three channel component diagrams in Lab space. (a) a channel; (b) b channel; (c) L channel
Fig. 4. Segmentation process. (a) a channel image; (b) binary image; (c) morphological operation; (d) mask image
Fig. 6. Texture features of gray-level size zone matrix. (a) Zonal correlation; (b) entropy of neighborhood gray-level; (c) big area emphasis; (d) small area emphasis; (e) gray level non-uniformity; (f) size-zone non-uniformity; (g) speckle areal ratio
Fig. 7. Texture features of gray-level co-occurrence matrix. (a) Angular second moment; (b) entropy; (c)
Fig. 8. Gray features of laser speckle images. (a) Mean; (b) standard deviation; (c) skewness; (d) kurtosis
Fig. 9. Recognition accuracy of scattered and natural light images under different illumination levels
|
Get Citation
Copy Citation Text
Hequn Li, Yufei Zheng, Hanxi Yang, Yun Liu, Mingxing Jiao. Feature Extraction and Recognition Method of Coal and Gangue Based on Laser Speckle Imaging[J]. Acta Optica Sinica, 2024, 44(21): 2115001
Category: Machine Vision
Received: May. 7, 2024
Accepted: Jun. 19, 2024
Published Online: Nov. 19, 2024
The Author Email: Li Hequn (lhq@xaut.edu.cn)