作者: Ben Bales , Tresa Pollock , Linda Petzold
关键词: Segmentation 、 Histogram of oriented gradients 、 Spatial analysis 、 Image processing 、 Crystallography 、 Pattern recognition 、 Scale-space segmentation 、 Quantitative analysis (finance) 、 Materials science 、 Process (computing) 、 Artificial intelligence 、 Image (mathematics)
摘要: Segmentation based image analysis techniques are routinely employed for quantitative of complex microstructures containing two or more phases. The primary advantage these approaches is that spatial information on the distribution phases retained, enabling subjective judgements quality segmentation and subsequent process. downside computing micrograph segmentations with data from morphologically gathered error-prone detectors challenging and, if no special care taken, artifacts will make any conclusions uncertain. In this paper we demonstrate, using a phase nickel-base superalloy microstructure as model system, new methodology precipitate shapes segmentation-free approach histogram oriented gradients feature descriptor, classic tool in analysis. benefits three-dimensions demonstrated.