Prof. Yawen Liu Profile

Prof. Yawen Liu

at Wuhan Univ

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Author

Publications (10)

Proceedings Article | 14 December 2015 Paper

Facade model refinement by fusing terrestrial laser data and image

Yawen Liu, Sushun Qin

Proceedings Volume 9813, 981317 (2015) https://doi.org/10.1117/12.2214179

KEYWORDS: Data modeling, Image segmentation, 3D modeling, Feature extraction, Image fusion, Visual process modeling, Geometrical optics, Data acquisition, Principal component analysis, Photogrammetry

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Proceedings Article | 14 December 2015 Paper

Transmission line icing measurement on photogrammetry method

Huan Huang, Xiaohong Ma, Lijin Zhao, Hao Du, Hong Luo, Xianyin Mao, Min Tang, Yawen Liu

Proceedings Volume 9815, 98150Z (2015) https://doi.org/10.1117/12.2203579

KEYWORDS: Cameras, Photogrammetry, Calibration, Laser range finders, Distance measurement, Krypton, Reliability, Detection and tracking algorithms, Remote sensing, Sensors

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Proceedings Article | 8 November 2014 Paper

Remote sensing change detection study based on adaptive threshold in pixel ratio method

Yawen Liu, Weidong Xin, Zeyuan Chen

Proceedings Volume 9260, 92602I (2014) https://doi.org/10.1117/12.2067886

KEYWORDS: Remote sensing, Image classification, Image fusion, Roads, Reliability, Detection and tracking algorithms, Data acquisition, Target detection, Gallium, Defense and security

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Proceedings Article | 8 December 2011 Paper

The electrified insulator paramater measurement for flashover based on photogrammetric method

Jianwu Jiang, Ling Zhao, Jianwei Wang, Yawen Liu, Min Tang, Zheng Ji

Proceedings Volume 8002, 80021I (2011) https://doi.org/10.1117/12.902054

KEYWORDS: Cameras, Calibration, Spindles, Pollution, LCDs, Contamination, 3D modeling, Image processing, Photogrammetry, 3D acquisition

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Proceedings Article | 30 October 2009 Paper

Studying on the method of quick generating urban image mosaic

Yawen Liu, Mingwei Sun

Proceedings Volume 7498, 74983B (2009) https://doi.org/10.1117/12.831207

KEYWORDS: Orthophoto maps, Digital imaging, Image processing, Control systems, Remote sensing, Natural disasters, Photography, Cameras, Digital photography, Satellite imaging

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Proceedings Article | 15 November 2007 Paper

Study on quality check methods of digital orthoimages

Yawen Liu, Zhijiang Li, Zheng Ji, Zhenghong Xie

Proceedings Volume 6786, 67860Y (2007) https://doi.org/10.1117/12.747182

KEYWORDS: Inspection, Image quality, Databases, Image quality standards, Communication engineering, Data communications, Statistical analysis, Lithium, Remote sensing, Printing

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Proceedings Article | 28 October 2006 Paper

Study of check method in geometry precision for DOM

Anping Liao, Hongwei Zhang, Yawen Liu, Ji Zheng

Proceedings Volume 6419, 641923 (2006) https://doi.org/10.1117/12.713398

KEYWORDS: Feature extraction, Roads, Error analysis, Reliability, Image resolution, Image processing, Algorithm development, Remote sensing, Image registration, Image segmentation

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Proceedings Article | 4 November 2005 Paper

Line segment matching based on the depth face of building

Yawen Liu

Proceedings Volume 6044, 60440M (2005) https://doi.org/10.1117/12.654542

KEYWORDS: Image segmentation, Tin, Image processing algorithms and systems, Image analysis, Remote sensing, Roads, 3D image processing, 3D image reconstruction, Lithium, Cameras

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Proceedings Article | 25 September 2001 Paper

Solution for camera interior and exterior orientation parameters based on line features

Yawen Liu

Proceedings Volume 4553, (2001) https://doi.org/10.1117/12.441598

KEYWORDS: Cameras, Calibration, Photogrammetry, Computing systems, Remote sensing, Mathematical modeling, Imaging systems, Photography, 3D vision, Control systems

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Proceedings Article | 17 December 1998 Paper

Integrated system for image storage, retrieval, and transmission using wavelet transform

Dan Yu, Yawen Liu, Ray Mu, Shi-Qiang Yang

Proceedings Volume 3656, (1998) https://doi.org/10.1117/12.333864

KEYWORDS: Image compression, Wavelets, Image retrieval, Image transmission, Image storage, Wavelet transforms, Discrete wavelet transforms, Databases, Image resolution, Distortion

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Currently, much work has been done in the area of image storage and retrieval. However, the overall performance has been far from practical. A highly integrated wavelet-based image management system is proposed in this paper. By integrating wavelet-based solutions for image compression and decompression, content-based retrieval and progressive transmission, much higher performance can be achieved. The multiresolution nature of the wavelet transform has been proven to be a powerful tool to represent images. The wavelet transform decomposes the image into a set of subimages with different resolutions. From here three solutions for key aspects of image management are reached. The content-based image retrieval (CBIR) features of our system include the color, contour, texture, sample, keyword and topic information of images. The first four features can be naturally extracted from the wavelet transform coefficients. By scoring the similarity of users' requests with images in the database, those who have higher scores are noted and the user receives feedback. Image compression and decompression. Assuming that details at high resolution and diagonal directions are less visible to the human eye, a good compression ratio can be achieved. In each subimage, the wavelet coefficients are vector quantized (VQ), using the LGB algorithm, which is improved in our approach to accelerate the process. Higher compression ratio can be achieved with DPCM and entropy coding method applied together. With YIQ representation, color images can also be effectively compressed. There is a very low load on the network bandwidth by transmitting compressed image data across the network. Progressive transmission is possible by employment of the multiresolution nature of the wavelet, which makes the system respond faster and the user-interface more friendly. The system shows a high overall performance by exploring the excellent features of wavelet, and integrating key aspects of image management. An image retrieval service using Java is also available on the world wide web (www), to demonstrate the system's features.

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