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	Defect-induced fatigue scattering and assessment of additively manufactured 300M-AerMet100 steel: An investigation based on experiments and machine learning 期刊论文 OAI收割 ENGINEERING FRACTURE MECHANICS, 2022, 卷号: 264, 页码: 17 作者: Zhan, Zhixin; Ao, Ni; Hu, Yanan; Liu, Chuanqi \| 收藏 \| 浏览/下载：66/0 \| 提交时间：2022/05/17 Data-driven modeling Additive manufacturing 300M-AerMet100 steel Experimental investigations Fatigue assessment
	Terahertz compressive imaging: understanding and improvement by a better strategy for data selection 期刊论文 OAI收割 International Journal of Numerical Modelling: Electronic Networks, Devices and Fields, 2021, 卷号: 34, 期号: 5, 页码: 1-10 作者: Xing CG(邢春贵); Qi F(祁峰); Liu ZY(刘朝阳); Wang YL(汪业龙); Guo SX(郭树旭) \| 收藏 \| 浏览/下载：24/0 \| 提交时间：2021/02/14 compressive sensing experimental assessment image quality enhancement terahertz communication terahertz imaging
	A Local Image Enhancement Method Based on Adjacent Pixel Gray Order-preserving Principle 会议论文 OAI收割 5th International Symposium on Photoelectronic Detection and Imaging (ISPDI) - Infrared Imaging and Applications, Beijing, June 25-27, 2013 作者: Fan XP(范晓鹏); Cai TF(蔡铁峰); Zhu F(朱枫) 收藏 \| 浏览/下载：35/0 \| 提交时间：2013/12/26 The paper is committed in local image enhancement. At first, the authors propose an adjacent pixel gray order-preserving principle. Adjacent pixel gray order-preserving principle is the basement of local enhancement method which ensures that there is no distortion in processed image. And then, the authors propose an iterative algorithm, which could stretch gray-scale difference of adjacent pixels in premise of not changing gray magnitude relationship between adjacent pixels. At last, the authors propose a totally reference image quality assessment method based on adjacent pixel gray order-preserving principle. According to this quality assessment method, the authors made a set of comparative experiments with local histogram equalization and method. Experimental results show that the proposed enhancement method can get higher score and provide better visual effects, fully demonstrating its effectiveness. According to this quality assessment method, the proposed method shows a good effectiveness, through experimental results and comparison with local histogram equalization method.
	Retrieval of snow depth in Northeast China using FY-3B/MWRI passive microwave remote sensing data (EI CONFERENCE) 会议论文 OAI收割 Satellite Data Compression, Communications, and Processing VIII, August 12, 2012 - August 13, 2012, San Diego, CA, United states Ren R.; Gu L.; Chen H.; Cao J. 收藏 \| 浏览/下载：136/0 \| 提交时间：2013/03/25 Comparing with optical remote sensing techniques passive remote sensing data have been proved to be effective for observing snowpack parameters such as snow depth and snow water equivalent which can penetrate snowpack without clouds interferences. The Microwave Radiation Imager (MWRI) loaded on the Chinese FengYun-3B (FY-3B) satellite is gradually used in the global environment research through November 2011. In this paper we proposed a snow depth retrieval algorithm to estimate snow depth in Northeast China using MWRI passive microwave remote sensing data. A decision tree method of snow identification was firstly designed to distinguish different snow cover conditions in order to eliminate other interference signals. After using the proposed decision tree method the processing results were further used to retrieve the snow depth in Northeast China. Finally the practical snow depth data and the MODIS data were collected for the accuracy assessment of the proposed snow depth retrieval method. The experimental results demonstrated that the RMSE of snow depth used the proposed method was approximately 3 cm in Northeast China. 2012 SPIE.
	Local variance based color image quality assessment method (EI CONFERENCE) 会议论文 OAI收割 2011 2nd International Conference on Advanced Measurement and Test, AMT 2011, June 24, 2011 - June 26, 2011, Nanchang, China 作者: Wang Y.; Wang Y.; Wang Y.; Wang Y.; Wang Y. 收藏 \| 浏览/下载：23/0 \| 提交时间：2013/03/25 In this paper local variance is used to describe the structural information of a color image in order to assess its quality. The representation method is different from conventional models in that some information that is sensitive to human eyes is enhanced by using local variance distribution. It encodes the local variance distribution of different channels of a color image into the three imaginary parts of a quaternion. The distance between the singular value feature vectors of the source image block and the distorted image block which are described by quaternion matrices is calculated. The experimental results show that the assessment results of the proposed assessment method are more consistent with the Human Visual System than those of the conventional assessment methods.
	A fast and efficient multiple step algorithm of iris image quality assessment (EI CONFERENCE) 会议论文 OAI收割 2010 2nd International Conference on Future Computer and Communication, ICFCC 2010, May 21, 2010 - May 24, 2010, Wuhan, China Shi C.; Jin L. 收藏 \| 浏览/下载：14/0 \| 提交时间：2013/03/25 Iris recognition is one of the most reliable methods of biometrics personal identification. Poor quality iris image will be rejected by recognition system which will result in the failure of recognition. Therefore iris image quality assessment is very essential to the iris recognition system. In this paper a multiple step algorithm of iris image quality assessment is proposed to distinguish two kinds of poor quality images i.e. defocus and occlusion. Experimental results show that the proposed algorithm is fast and efficient for iris image quality assessment. 2010 IEEE.
	Quaternion based assessment method for color image fusion algorithms (EI CONFERENCE) 会议论文 OAI收割 2010 3rd International Congress on Image and Signal Processing, CISP 2010, October 16, 2010 - October 18, 2010, Yantai, China 作者: Wang Y.; Wang Y.; Wang Y.; Wang Y.; Wang Y. 收藏 \| 浏览/下载：19/0 \| 提交时间：2013/03/25 A new approach to assess the performance of color image fusion algorithms is proposed. The color information is fully used by this method. Quaternions are used to encode the pixels in a color image into a quaternion matrix. Local variance of the luminance layer of the color image is taken as the real part of a quaternion then the three RGB channels of the color image are encoded into the three imaginary parts of a quaternion. The angle between the singular value feature vectors of the quaternion matrices corresponding to one of the source image and the fused image is used to measure their structural similarity. Edge information transferring is used to balance the sensitivity of the assessment methods. Experimental results show that the proposed assessment method is better consistent with the HVS than some of the state-of-the-art method. Accurate assessment results can be given by the proposed method for various of color image fusion algorithms by using the source images and the fused image. 2010 IEEE.
	Color image quality assessment based on quaternion representation for the local variance distribution of RGB Channels (EI CONFERENCE) 会议论文 OAI收割 2009 2nd International Congress on Image and Signal Processing, CISP'09, October 17, 2009 - October 19, 2009, Tianjin, China Yuqing W.; Ming Z. 收藏 \| 浏览/下载：25/0 \| 提交时间：2013/03/25 In this paper Quaternions are used to describe the structural information of a color image in order to assess its quality. The representation method is different from conventional models in that some information that is sensitive to human eyes is reinforced by using local variance. It encodes the local variance distribution of the RGB channels of a color image into the three imaginary parts of a quaternion. The luminance layer of the color image is taken as the real part of the quaternion. The distance between the singular value feature vectors of the source image block and the distorted image block which are described by quaternion matrices is calculated. The final assessment result is calculated by using the mid point of the distances. The experimental results show that the assessment results of the proposed assessment method are more consistent with the Human Visual System than those of the conventional assessment methods. 2009 IEEE.