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Post-TPS needle placement planning for robotic-assisted LDR seed brachytherapy. [PDF]
Front OncolFan Y +5 more
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Correction: Kumar et al. Investigation of Unsafe Construction Site Conditions Using Deep Learning Algorithms Using Unmanned Aerial Vehicles. <i>Sensors</i> 2024, <i>24</i>, 6737. [PDF]
Sensors (Basel)Kumar S +5 more
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Rapid detection and quantification of sweet potato storage roots using ground penetrating radar. [PDF]
Plant PhenomicsTei M, Liu J, Gomez C, Ishii T, Uga Y.
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A Hybrid Automatic Model for Circle Detection in X-Ray Imagery: A Case Study on Hip Prosthesis Wear. [PDF]
Bioengineering (Basel)Öztürk M, Adwan Y.
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Entry Point Localisation for Percutaneous Surgical Robots Based on Concentric Fiducial Patches and Robust Surface Fitting. [PDF]
Int J Med RobotDeng Y, Jiang Q, Wang J, Tang J.
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Repeated pattern detection on fabric: A survey and novel approach. [PDF]
PLoS OneAyyurek E +7 more
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IEEE Transactions on Pattern Analysis and Machine Intelligence, 1987
We introduce the Adaptive Hough Transform, AHT, as an efficient way of implementing the Hough Transform, HT, method for the detection of 2-D shapes. The AHT uses a small accumulator array and the idea of a flexible iterative "coarse to fine" accumulation and search strategy to identify significant peaks in the Hough parameter spaces.
J Illingworth, J Kittler
exaly +4 more sources
We introduce the Adaptive Hough Transform, AHT, as an efficient way of implementing the Hough Transform, HT, method for the detection of 2-D shapes. The AHT uses a small accumulator array and the idea of a flexible iterative "coarse to fine" accumulation and search strategy to identify significant peaks in the Hough parameter spaces.
J Illingworth, J Kittler
exaly +4 more sources