Linear Feature Detectionin Images

Yu Ju Zeng; Ming Hui Chen

doi:10.4028/www.scientific.net/AMM.651-653.2331

Paper Titles

Identification of Hammerstein Systems with Two-Segment Preload Nonlinearity Based on the Gradient Search
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Image Recognition and Counting for the Bacilli Cell Based on the Microscopic Image
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Improved Chaotic Bacteria Foraging Optimization Algorithm Particle
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Improved Natural Gradient Algorithms for Multi-Channel Signal Separation
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Linear Feature Detectionin Images
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Measured Scan Data Reduction Combination Algorithm Based on Scan Line
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New Criterion for Stability of Linear Systems with Interval Time-Varying Delay
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New OFDM Channel Estimation Method Based on ISI Cancellation
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Numerical Simulation of the Basketball Flight Trajectory Based on FLUENT Fluid Solid Coupling Mechanics
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 651-653Linear Feature Detectionin Images

Linear Feature Detectionin Images

Abstract:

Linear feature detection in digital images is an important low-level operationin computer vision that has many applications. In remote sensing tasks, it can be usedto extract roads, railroads, and rivers from satellite or low-resolution aerialimages,which can be used for the capture or update of data for geographic information andnavigation systems. In addition, it is useful in medical imaging for the extraction ofblood vessels from an X-ray angiography or the bones in the skull from a CT or MRimage. It also can be applied in horticulture for underground plant root detection inminirhizotron images.

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Periodical:

Applied Mechanics and Materials (Volumes 651-653)

Pages:

2331-2334

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.651-653.2331

Citation:

Cite this paper

Online since:

September 2014

Authors:

Yu Ju Zeng, Ming Hui Chen

Keywords:

Discriminant, Line, Matrix

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