Title :
Notice of Retraction
Oolitic limestone grains recognition based on the shape knowledge
Author :
Zhonghua Lin ; Hongfei Yu
Author_Institution :
Sch. of Comput. Sci. & Technol., Henan Polytech. Univ., Jiaozuo, China
Abstract :
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Oolitic limestone is one kind of typical chemical sedimentary rock, characterized with rich in ooids. In this paper, we will try to recognize Oolitic limestone based on the shape knowledge. Firstly it turned the RGB image into 8-bit gray image and made TV smoothing, then it made edge detection by Canny operator and edge fitting by Hough transform, finally it identified the Oolitic limestone grains. The experiments show that this method can achieve good results and meet the demand of oolitic limestone grains recognition.
Keywords :
edge detection; geophysical image processing; geophysical techniques; rocks; Canny operator; Hough transform; RGB image; TV smoothing; chemical sedimentary rock; edge detection; edge fitting; gray image; image transform; oolitic limestone grains; shape knowledge; Fitting; Grain boundaries; Image edge detection; Image segmentation; Smoothing methods; TV; Transforms; canny operator; hough transform; oolitic limestone; total variation flow;
Conference_Titel :
Geoscience and Remote Sensing (IITA-GRS), 2010 Second IITA International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-8514-7
DOI :
10.1109/IITA-GRS.2010.5602005
