An Adaptive Multiple Subtraction Algorithm Based on Independent Component Analysis

Lu, Wenkai; Luo, Yi; Zhao, Bo; Qian, Zhongping

doi:10.1002/cjg2.578

Cited by 4 publications

(1 citation statement)

References 16 publications

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“…One of the most critical aspects is how to automatically obtain exact readings of the pointer dashboard. At present, the algorithm about the pointer recognition mainly include the central projection method, template method, Hough transform method and subtraction method, least square method, and the joint application of these methods [4,5,6]. In all of these methods, the central projection, subtraction method and template method are greatly influenced by image noise [7,8].…”

Section: Introductionmentioning

confidence: 99%

Research on the Algorithm of Automatic Detection of Bus Dashboard Pointer Based on CM-Hough Transforms

Guo

2014

KEM

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The pointer position detection is an important part of implementing the bus dashboard functional test using machine vision. This paper introduces the composition and working principle of the dashboard automatic detection system on machine vision. Then, combining with image processing and Hough transform, we get the image analysis algorithm of the dashboard pointer detection. By analyzing a large amount of computation resulted from the fact that traditional Hough transform uses divergent mapping methods, paper puts forward the methods of improving the convergence of the mapping and conducts parameter space mapping, which effectively reduces the amount of computation. After that, combining with the actual picture of a bus dashboard, automatic detection experiment was carried out for the proposed algorithm. Experiments show that algorithm for dashboard pointer position machine visual based on CM-Hough transform can obtain the angle of the pointer, and effectively shorten the time for dashboard functionality test, and improve the efficiency of the production line for passenger bus dashboard.

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Section: Introductionmentioning

confidence: 99%

Research on the Algorithm of Automatic Detection of Bus Dashboard Pointer Based on CM-Hough Transforms

Guo

2014

KEM

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Study on Methods for Surface‐Related Multiples Prediction Based on Wave Equation and Adaptive Subtraction

Shi

Liu

Zou

2010

Chinese J of Geophysics

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Multiples prediction and adaptive subtraction are two important aspects in the wave‐equation‐based surface‐related multiples suppression method. In this work, GPU with parallel computation advantage is exploited to accelerate surface‐related multiples prediction, which improves calculation efficiency greatly. In the adaptive subtraction algorithm, multiples modeling traces contain predicted multiple trace, high‐frequency reconstruction trace from predicted multiple trace, Hilbert transform trace from predicted multiple trace, and their translation trace. Hilbert transform trace will compensate phase information of multiples, and high‐frequency reconstruction trace improves high‐frequency information of predicted multiples, which compensate energy difference in the frequency band. Iterative algorithms are used during prediction and subtraction. Iterative prediction improves kinematic properties and iterative subtraction improves dynamic properties, which make predicted multiples match actual multiples well. The proposed method is applied to the theoretical SMAART model and real marine data. The test results show that the method can predict multiples of seismic data efficiently, also suppress surface‐related multiples without damaging primary effectively.

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Echo Cancellation Using Predictive Deconvolution Based on High Order Statistics

Liu¹

2008

2008 Congress on Image and Signal Processing

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An Adaptive Multiple Subtraction Algorithm Based on Independent Component Analysis

Cited by 4 publications

References 16 publications

Research on the Algorithm of Automatic Detection of Bus Dashboard Pointer Based on CM-Hough Transforms

Research on the Algorithm of Automatic Detection of Bus Dashboard Pointer Based on CM-Hough Transforms

Study on Methods for Surface‐Related Multiples Prediction Based on Wave Equation and Adaptive Subtraction

Echo Cancellation Using Predictive Deconvolution Based on High Order Statistics

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