EDGE-DETECTION IN PETROGRAPHIC IMAGES

被引:35
|
作者
STARKEY, J
SAMANTARAY, AK
机构
[1] Department of Earth Sciences, University of Western Ontario, London, Ontario
来源
关键词
POLARIZATION MICROSCOPY; PETROGRAPHIC IMAGES; EDGE SEGMENTATION; BOUNDARY IDENTIFICATION;
D O I
10.1111/j.1365-2818.1993.tb03421.x
中图分类号
TH742 [显微镜];
学科分类号
摘要
The automatic detection of mineral grain boundaries in images obtained from a polarized-light microscope requires special techniques. Observations in both plane- and cross-polarized light may be necessary and the section must be rotated relative to the plane of polarization of the microscope to see all the grain boundaries. In computer-based microscopy this can be accomplished by the sequential accumulation of individual images captured from one microscope field of view with different polarizer orientations. For real-time implementation the sequential images are segmented individually by applying Canny's algorithm. A separable Gaussian mask is used for smoothing and a 3 x 3 convolution mask is used to generate 1-pixel-wide boundaries, which are located at the zero-crossing of the second-order derivative of the intensity gradient. The boundaries are extracted and accumulated in a composite image. The resulting composite image is a synoptic grain-boundary image of the rock.
引用
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页码:263 / 266
页数:4
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