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z3
- 3 摘 要:研究了具有深度运动模糊效果的图像的复原算法.采用对运动模糊图像的傅里叶频谱进行 Radon 变换来估计运动模糊方向 ,在此方向上计算运动模糊图像的自相关来估计运动模糊长度 ,再 以运动模糊方向和运动模糊长度为参量结合超分辨力图像复原处理算法对比较严重的运动模糊图像进行复原.结果表明 ,该综合性算法能够较为精确地估算出运动模糊图像的模糊参量并取得较好的复原效果.-3 Abstract: The effect of motion blur with the depth of
LPR_MATLAB
- 摘要：变形车牌矫正和复杂牌照的文字区域提取是LPR中两个比较重要的问题。本文运用MATLAB，通过Radon 变换检测牌照的角度，使用旋转与错切变换相结合的方法来解决变形牌照矫正问题；通过对牌照区域进行颜色提取从 而消除非牌照颜色的干扰，解决复杂牌照的文字区域提取问题。-Abstract: The distortion correction and complexity of the license plate text area extraction is the LPR in the
4
- this paper present Detection of Ship Wakes in SAR Images Based on Radon Transform
2
- this paper present Detection of Ship Wakes in SAR Images Based on Radon Transform
20111122
- Vehicle’s License Plate Recognition System based on a Neural Network Radon Transform Method paper
Matlab-Linear-FM-Time-freq-analysis
- 本文就着重比较Radon-Wigner变换、离散Chirp-Fourier变换等方法的优劣。-This article on a comparison of the Radon-Wigner transformation, the advantages and disadvantages of the discrete Chirp-Fourier transform method.
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- image hash using radon transform
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
Liver-CT-Image
- 提出了一种改进的灰度共生矩阵肝脏CT 图纹理特征分析方法，即首先确定图像ROI 区域，接着构造一个新的能综合反映共生矩阵各角度信息的灰度共生矩阵，然后提取基于该矩阵的纹理特征参数。通过实验验证，上述方法是分析肝脏CT 图的一种快速有效的纹理特征分析方法，对其他特定类别图像的纹理特征分析有参考意义。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 no
RadonTransform
- 描述了一种基于Radon变换的SAR多普勒参数的估计方法-A method for estimating the parameters of SAR Doppler based on Radon transform is described.
Radon
- 基于改进Radon变换的芯片几何特征检测.pdf-Chip-based geometric features improved detection of Radon Transform
Radon-BARCODE
- Radon 变换在二维条码图像识别中的应用-Radon transform in a two-dimensional bar code image recognition
radonmatrix
- MATLAB solution to generate the matrix representation of a discrete Radon transform (DRT)
Line-detection-in-a-noisy-environment-with-weight
- One of the most popular approaches to detect lines is based on the Radon transform (RT). But in real-world applications RT-based approach suffers the noise and clutter, because they decrease the sharpness of the local maximums. In this paper we s