A New Efficient Stereo Line Segment Matching Algorithm Based on More Effective Usage of the Photometric, Geometric and Structural Information

Karimian, Ghader; Raie, Abolghasem A.; Faez, Karim

doi:10.1093/ietisy/e89-d.7.2012

Cited by 9 publications

(7 citation statements)

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“…In general, feature‐based techniques yield a better match more stably and accurately than other techniques. Two types of features commonly used are point‐like features such as corners and line segments . Overall, the use of single 2‐D images or stereo images for constructing 3‐D shape of crystals at micron size scale is still very limited.…”

Section: Introductionmentioning

confidence: 99%

Stereo imaging of crystal growth

2015

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1 SignificanceA methodology that directly images the full three-dimensional shape of crystals within a crystalliser is reported. It is based on the mathematical principle that if the two-dimensional images of an object are obtained from two or more different angles, the full three-dimensional crystal shape could be reconstructed. A prototype instrument is built and proof of concept study carried out to demonstrate the potentials in using the system for three-dimensional measurement of crystal shape and shape distribution. It is our belief that 3D measurement of crystal shape represents a significant step forward from existing work of 2D measurement of crystal morphology and is potentially of great significance to research towards closed-loop control of crystal morphology.

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Section: Introductionmentioning

confidence: 99%

Stereo imaging of crystal growth

2015

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“…In general, feature-based techniques yield a best match more stably and accurately than area-based techniques. Two types of features commonly used are point-like features such as corners and line segments [72]. The extracted 3D information can then be further processed to calculate the sizes and growth rates of individual faces, and to perform polymorph identification and classification and through this to develop new monitoring charts which can be used for improving quality control in manufacture.…”

Section: Image Analysis and 3d Reconstructionmentioning

confidence: 99%

Measurement, modelling, and closed-loop control of crystal shape distribution: Literature review and future perspectives

2016

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Crystal morphology is known to be of great importance to the end-use properties of the crystal product and affect the down-stream processing such as in filtration and drying, but was previously regarded as too challenging to achieve automatic closed-loop control. As a consequence, previous work has focused on control the crystal size distribution (CSD) where the size of a crystal is often defined as the diameter of a sphere that has the same volume of the crystal. This paper reviews very promising new advances made in recent years in morphological population balance models for modelling and simulation of crystal shape distribution (CShD), measurement and estimation of crystal facet growth kinetics, as well as in 2D and 3D imaging for on-line characterisation of crystal morphology and CShD. A framework is presented integrating various components in order to achieve the ultimate objective of model-based closed-loop control of CShD. The knowledge gaps and challenges that require further research are also identified.

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“…In general, feature-based techniques yield a better match more stably and accurately than other techniques. Two types of features commonly used are point-like features such as corners and line segments [48].…”

Section: Introductionmentioning

confidence: 99%

“…Using corner/edge detection [49][50][51], the corners and edges of the crystals from the processed images can be identified. A feature-based matching algorithm (see for example [48]) can be used to identify the corresponding left and right features (corners, edges). The 3D coordinates of crystal shape can then be reconstructed with the identified corresponding corners or edges using a stereo triangulation algorithm [52,53].…”

Section: Introductionmentioning

confidence: 99%

Development of a stereo imaging system for three-dimensional shape measurement of crystals

Cai

Liu

et al. 2015

2015 American Control Conference (ACC)

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Despite the availability of various Process Analytical Technologies (PAT) for measuring other particle properties, their inherit limitations for the measurement of crystal shape have been restricted. This has impacted, in turn, on the development and implementation of optimisation, monitoring and control of crystal shape and size distributions within particle formulation and processing systems In recent years, imaging systems have shown to be a very promising PAT technique for the measurement of crystal growth, but still essentially limited as a technique only to provide two-dimensional information. The idea of using two synchronized cameras to obtain 3D crystal shape was mentioned previously (Chem Eng Sci 63(5) [1171][1172][1173][1174][1175][1176][1177][1178][1179][1180][1181][1182][1183][1184] 2008) but no quantitative results were reported. In this paper, a methodology which can directly image the full three-dimensional shape of crystals has been developed. It is based on the mathematical principle that if the two-dimensional images of an object are obtained from two different angles, the full three-dimensional crystal shape can be reconstructed. A proof of concept study has been carried out to demonstrate the potentials in using the system for the three-dimensional measurement of crystals.

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A New Efficient Stereo Line Segment Matching Algorithm Based on More Effective Usage of the Photometric, Geometric and Structural Information

Cited by 9 publications

References 0 publications

Stereo imaging of crystal growth

Stereo imaging of crystal growth

Measurement, modelling, and closed-loop control of crystal shape distribution: Literature review and future perspectives

Development of a stereo imaging system for three-dimensional shape measurement of crystals

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