搜索资源列表
DenseStereoAlgorithms
- 关于深度图像重建、分析的综述，英文版，很全面。-depth of image reconstruction, analysis overview, in English, very comprehensive.
AR_spectrla_analysisissatisfactory
- 本文主要介绍在PCI图像采集系统的基上，由B超序列图像重建出全方61 t4型心动图。通过梯度算法、曲线拟合算法等图像处理技术获得心动图波形函数，采用自回归谱估计分析获得较为满意的结果。谱分析方法为心脏病的临床诊断提供了一种新的方法。 -This paper mainly introduces the PCI-based image acquisition system, the B-sequence of images from the reconstruction of a full si
haar_wavelet_analysis.ppt
- introductoin on harr wavelet analysis and the usage in image processing and digital signal processing.
HonorsPaperImageCompression1
- fractal image cmpression techniques,analysis,project report
1001-3695(2008)03-0939-03
- AAA基于最大特征点对互信息量的一种新的算法研究，理论分析和实验结果表明,该算法对图像间的旋转角度没有限制, 配准精度高而且计算量较小. -AAA feature points based on the maximum mutual information of a new algorithm, theoretical analysis and experimental results show that the algorithm for image rotation between
Paper-Dcocument_Image_Segmentation_for_LIS1
- This paper focuses on the needs of developing an automated Digital Library Management system .The purpose is to automate the task of analyzing data containing in raster image documents for the purpose of intelligent information retrieval in digital l
Paper_Otsu
- If we know some properties of the image, than thresholding process only needs to ensure this property is satisfied. In a printed text image, if we know the ratio of area between the sheet and character, then we can choose satisfied threshold value
04470129.rar
- Research in motion analysis has evolved over the years as a challenging field. Moving object detection and tracking is of major interest in applications such as traffic monitoring, military, medicine and biological sciences etc. In this a ne
859398
- Support vector regression has been proposed in a number of image processing tasks including blind image deconvolution, image denoising and single frame super-resolution. As for other machine learning methods, the training is slow. In this paper,
22314
- 图像融合算法的分析与比较，详细列举了现在流行的各个融合算法的优缺点.-Image fusion algorithm analysis and comparison, detailed the now popular fusion algorithm advantages and disadvantages of each.
05319598
- Image Denoising Algorithm Based on Independent Component Analysis
Ship-wake-detection
- 提出了一种新颖的基于光学图像的航迹检测方法. 首先利用纹理分析方法判断待检测区域中是否含有航迹, 然后在通过判断的区域中使用条纹增强算法, 凸现航迹特征, 最后使用Radon 变换检测航迹, 并对结果进行了优化. 与现有的检测方法相比, 该方法针对性强, 复杂度低. 使用该方法对实际航拍图片进行了检测实验, 取得了很好的效果.-Track propose a novel detection method based on the optical image. Firstly texture an
sensing-images
- 模糊分析的方法是用均一表面不确定性对原始图像进行模糊纹理滤波, 在滤波图像上计算空间均一不确定性,对不确定性进行模糊纹理光谱分析, 其光谱曲线直观地反映了多光谱遥感图像的纹理特征 通过采用不同的测量窗口,在不同的类别提取纹理样品进行实验。研究结果表明:多光谱遥感图像在小区域纹理特征不稳定,不同波段的纹理特征不同,不同类别的最小测量区域不同 模糊纹理分析的方法可用于图像分割。-Fuzzy analysis is to use a uniform surface uncertainty on the
multiscale
- 按照二维函数的特点和视觉机制,提出了用来捕捉纹理基元的纹理检测器函数,基于纹理检测器和扩展的小波变换,提出了基于能量分解的影像纹理多尺度分析方法,并按照神经动力学的侧抑制和端点抑制等理论,实现了对多尺度纹理特征的融合，这一多尺度分析方法直接将影像纹理能量在时间一尺度空间分解,包含了相位信息,避免了基于线性变换多尺度分解引起的能量与相位分离,为纹理分析提供了一个层次性的框架,有效提高了纹理的识别能力。-According to the characteristics of two-dimensio
yaxiangsujiaodianjiance
- 在土工三轴试验中应用该方法使得试样的变形测量更加简便。通过使用高精度标定板，对该数字图像测量方 法进行了精度分析，结果表明亚像素角点检测方法的轴向和径向测量的标准差都达到了0．02个像素，相对测量精度达到10‘4 数量级。-Triaxial tests in application of this method makes it easier specimen deformation measurements. By using high-precision calibration bo
Optimizing-Spatial-Filters-for-Robust-EEG-Single-
- ue to the volume conduction multichannel electroencephalogram (EEG) recordings give a rather blurred image of brain activity. Therefore spatial filters are extremely useful in single-trial analysis in order to improve the signal-to-noise ratio.
ALTERED-FINGERPRINTS-ANALYSIS-AND-DETECTION
- The widespread deployment of Automated Fingerprint Identification Systems (AFIS) in law enforcement and border control applications has heightened the need for ensuring that these systems are not compromised. While several issues related to fingerpri
SimpleImageAnalysisbyMoments
- Tutorial of image analysis by moments with the OpenCV library.
An_Introduction_to_Digital_Ima(BookZZ.org)
- book for image analysis
image-segmentation
- In this paper, the concepts of Daubechies wavelet transform are discussed. The Daubechies wavelets are a family of orthogonal wavelets defining a discrete wavelet transform and characterized by a maximal number of vanishing moments for some g