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    • 103. 发明申请
    • COMPREHENSIVE ASSESSMENT SYSTEM AND ASSESSMENT METHOD FOR VIBRATION AND LOAD OF WIND GENERATING SET
    • 综合评估系统及风力发电机组振动和负荷评估方法
    • US20120197605A1
    • 2012-08-02
    • US13355464
    • 2012-01-20
    • MINGMING YANGChao ZhangRongguang He
    • MINGMING YANGChao ZhangRongguang He
    • G06F17/50
    • G01M7/025F03D17/00F05B2260/84F05B2260/96F05B2270/331F05B2270/334G01M5/0066
    • The invention discloses a comprehensive assessment system and a comprehensive assessment method for vibration and load of a wind generating set. The system comprises a wind generating set model simulation module configured to simulate a wind generating set model to acquire simulation data; a wind generating set sample assessment module configured to assess wind generating set samples to acquire assessment data; a wind generating set assessment module configured to assess the vibration and the load of the wind generating set to acquire wind generating set assessment data; and a wind generating set expert analysis system configured to analyze the sample assessment data, the simulation data and the wind generating set assessment data to acquire an assessment result. The invention can be used for accurately testing, analyzing and assessing the load of each main component of the large wind generating set.
    • 本发明公开了一种风力发电机组的振动和载荷综合评估系统和综合评估方法。 该系统包括风力发电机组模型模拟模块,用于模拟风力发电机组模型以获取模拟数据; 风力发电机组样本评估模块,其被配置为评估风力发电机组样本以获取评估数据; 风力发电机组评估模块,被配置为评估所述风力发电机组的振动和负载以获取风力发电机组评估数据; 风力发电机组专家分析系统,用于分析样本评估数据,模拟数据和风力发电机组评估数据,以获得评估结果。 本发明可用于精确测试,分析和评估大型风力发电机组各主要部件的负荷。
    • 105. 发明授权
    • Scene-based non-uniformity correction method using local constant statistics
    • 基于场景的非均匀性校正方法使用局部常数统计
    • US07782378B2
    • 2010-08-24
    • US11869968
    • 2007-10-10
    • Chao ZhangWenyi Zhao
    • Chao ZhangWenyi Zhao
    • H04N5/217
    • G06T5/002
    • A scene-based non-uniformity correction method employing local constant statistics for eliminating fixed pattern noise in a video comprising a plurality of images is disclosed, comprising the steps of providing an initial gain image, an initial offset image, a predetermined pyramid level, and a filter of a predetermined level; setting one of the plurality of input images to the current image; calculating a temporary true scene image for the current image based on the initial gain image and the initial offset image; accumulating a temporal mean image and a temporal standard deviation image based on the calculated temporary true scene image; setting another of the plurality of images to the current image and repeating the setting, calculating, and accumulating steps until substantially all of the images of the plurality of images have been processed, otherwise further perform the steps of calculating a Gaussian mean image based on the accumulated temporal mean and calculating a Gaussian gain image based on the accumulated temporal standard deviation image; spectrum shaping the Gaussian mean image and the Gaussian gain image based on the predetermined pyramid level and the filter of a predetermined level; multiplying the spectrum shaped Gaussian gain image by the initial gain image to obtain a final gain image; and multiplying the spectrum shaped Gaussian mean image by the initial gain image and add the initial offset image to obtain a final offset image.
    • 公开了一种使用局部常数统计量来消除包括多个图像的视频中的固定模式噪声的基于场景的非均匀性校正方法,包括以下步骤:提供初始增益图像,初始偏移图像,预定金字塔电平,以及 预定水平的过滤器; 将多个输入图像中的一个设置为当前图像; 基于初始增益图像和初始偏移图像计算当前图像的临时真实场景图像; 基于所计算的临时真实场景图像累积时间平均图像和时间标准偏差图像; 将多个图像中的另一个图像设置为当前图像,并重复设置,计算和累积步骤,直到已经处理了多个图像的基本上所有的图像,否则进一步执行基于该图像的高斯平均图像的计算步骤 累积时间均值,并基于积累的时间标准差图像计算高斯增益图像; 基于预定金字塔级别和预定级别的滤波器对高斯均值图像和高斯增益图像进行频谱整形; 将光谱高斯增益图像乘以初始增益图像以获得最终增益图像; 并将光谱高斯平均图像乘以初始增益图像,并加上初始偏移图像以获得最终的偏移图像。
    • 107. 发明申请
    • MULTI-SCALE MULTI-CAMERA ADAPTIVE FUSION WITH CONTRAST NORMALIZATION
    • 多尺度多摄像机自适应融合与对比正态化
    • US20090169102A1
    • 2009-07-02
    • US12275781
    • 2008-11-21
    • Chao ZhangPeter Jeffrey BurtGooitzen Sieman van der Wal
    • Chao ZhangPeter Jeffrey BurtGooitzen Sieman van der Wal
    • G06K9/40G06K9/36
    • G06T5/007G06T3/4061G06T5/002G06T5/50G06T2200/28G06T2207/20221H04N5/3653
    • A computer implemented method for fusing images taken by a plurality of cameras is disclosed, comprising the steps of: receiving a plurality of images of the same scene taken by the plurality of cameras; generating Laplacian pyramid images for each source image of the plurality of images; applying contrast normalization to the Laplacian pyramids images; performing pixel-level fusion on the Laplacian pyramid images based on a local salience measure that reduces aliasing artifacts to produce one salience-selected Laplacian pyramid image for each pyramid level; and combining the salience-selected Laplacian pyramid images into a fused image. Applying contrast normalization further comprises, for each Laplacian image at a given level: obtaining an energy image from the Laplacian image; determining a gain factor that is based on at least the energy image and a target contrast; and multiplying the Laplacian image by a gain factor to produce a normalized Laplacian image.
    • 公开了一种用于融合由多个摄像机拍摄的图像的计算机实现的方法,包括以下步骤:接收由所述多个照相机拍摄的相同场景的多个图像; 为所述多个图像的每个源图像生成拉普拉斯金字塔图像; 对拉普拉斯金字塔图像应用对比度归一化; 在拉普拉斯金字塔图像上执行像素级融合,基于局部显着度测量,可以减少混叠伪像,从而为每个金字塔级别产生一个突出显示的拉普拉斯金字塔图像; 并将突出显示的拉普拉斯金字塔图像组合成融合图像。 对于每个拉普拉斯图像,应用对比度归一化进一步包括:从拉普拉斯图像获得能量图像; 确定至少基于能量图像和目标对比度的增益因子; 并将拉普拉斯图像乘以增益因子以产生归一化拉普拉斯图像。
    • 108. 发明申请
    • SCENE-BASED NON-UNIFORMITY CORRECTION AND ENHANCEMENT METHOD USING SUPER-RESOLUTION
    • 基于SCENE的非均匀性校正和使用超分辨率的增强方法
    • US20080107346A1
    • 2008-05-08
    • US11873151
    • 2007-10-16
    • Chao ZhangWenyi Zhao
    • Chao ZhangWenyi Zhao
    • G06K9/62
    • G06T3/4053G06T5/002G06T5/50G06T2207/10016H04N5/3656
    • A scene based non-uniformity, correction method super-resolution for eliminating fixed pattern noise in a video having a plurality of input images is disclosed, comprising, the steps of warping, each of the plurality of images with respect to a reference image to obtain a warped set of images; performing one of averaging and deblurring on the warped set of images to obtain an initial estimate of a reference true scene flame; warping the initial estimate of the reference true scene frame with respect to each of the plurality of images to obtain a set of estimated true signal images; performing a least square fit algorithm to estimate a gain image and an offset image given the set of estimated true signal images; applying the estimated gain image and estimated offset image to the plurality of images to obtain a clean set of images; and applying a super-resolution algorithm to the clean set of images to obtain a higher resolution version of the reference true scene frame.
    • 公开了一种用于消除具有多个输入图像的视频中的固定图案噪声的基于场景的不均匀性校正方法超分辨率,包括以下步骤:对参考图像中的每个图像进行翘曲以获得 扭曲的一组图像; 对翘曲的图像进行平均和去模糊,以获得参考真实场景火焰的初始估计; 对相对于多个图像中的每一个的参考真实场景帧进行初始估计,以获得一组估计的真实信号图像; 执行最小二乘拟合算法来估计给定所述一组估计真实信号图像的增益图像和偏移图像; 将估计的增益图像和估计的偏移图像应用于多个图像以获得干净的图像集合; 并将超分辨率算法应用于干净的图像集合,以获得参考真实场景帧的更高分辨率版本。