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- Histogram of LDP operators is used as gray scale, translation and rotation invariant features for texture classification. 局部差分模式直方图可作为光照、平移、旋转不变性特征用于不变性纹理分类。
- This paper analyses the influence of scale factor on moment invariant features in discrete,constructs a new moment invariant with both scale,translation and rotating invariance. 分析了在离散状态下比例因子对不变矩特征的影响,构造了一种新的不变矩,使其具有平移、旋转和比例因子的不变性。
- An algorithm for a rotation invariant scene matching method based on isotropy of circular and projection feature is proposed. 利用圆的各向同性和投影特徵提出了圆投影匹配算法,并对其进行了改进。
- Rotation invariant texture analysis is one of the important items in texture analysis. 旋转不变纹理分析是纹理分析的重要方面。
- We design a new feature extraction method that generates rotation and translation invariant features and use the Procrustes algorithm to find the key substructures which are denoted by radicals. 摘要:蛋白质结构的分析及排列是一个在生物学及医学上有著重要的应用而受到广泛大众重视的研究领域。
- In this paper,we incorporate Fourier transform with Log-Polar transform to achieve rotation invariant texture analysis. 通过将对数极坐标和傅立叶变换结合,完成旋转不变的傅立叶纹理特征提取。
- A rotation invariant texture classification algorithm based on log-polar and Dual-Tree Complex Wavelet Transform(DT-CWT) is proposed. 提出了一种基于对数-极坐标变换(Log-Polar)和双树复数小波变换(DT-CWT)的旋转不变纹理分类算法。
- Simulation results are presented s howing good correlation of rotation invariant detection performance of the propo sed method. 计算机模拟结果显示对旋转图像,提出的二元联合变换相关器具有较好相关不变的识别性能。
- A rotation invariant texture classification algorithm based on log-polar and dual-tree complex wavelet transform (DT-CWT) is proposed. 摘要 提出了一种基于对数-极坐标变换和双树复数小波变换的旋转不变纹理分类算法。
- This paper proposes an affine invariant feature construction method, and fulfills automatic registration of aerial image sequence using this feature. 提出一种仿射不变特征的构造方法对航空图像序列进行全自动配准。
- The proposed indexing and matching algorithm performs well both in matching speed and in toleration of the non-linear deformation, besides its shift and rotation invariant property. 同时表明本文所提出的匹配算法除了具有平移、旋转不变性外,在匹配速度和容忍非线性形变方面具有良好的性能。
- However, the large number of local invariant feature keypoints extract by the SITF poses a scalability problem in the matching stage as the number of images to be matched increases. 然而,大量的特徵点对辨识阶段将是一个重要的问题,影像的匹配会因为影像的数量而增加。
- A new method of multi-objeets rotation invariance classfieation is presented. 提出一种多目标旋转不变分类识别的新方法。
- The local invariant features have been widely used in the Digital Right Management (DRM) applications and in the image recognition applications. 尺寸不变性特徵点在数位版权管理中的浮水印及影像辨识的领域中已经是被广泛使用的方法。
- This paper proposes an image retrieval method based on NMI (Normalized Monent of Inertia) invariable feature for binary trade mark images. 文中针对二值商标图像,提出一种基于NMI特征的商标图像检索方法。
- rotation invariant pattern recognition 旋转不变模式识别
- SIFT (Scale Invariant Feature Transform) SIFT
- SIFT(scale invariant feature transform) 尺度不变特征变换
- SIFT(scale invariant feature transform) descriptor SIFT算子
- The rotational invariant descriptions were extracted in the recognition step and the SVM (support vector machine) was used to recognize the characters on the chesses. 而后采用支持向量机分类方法,对棋子信息进行分类识别,同时分析处理了误差对识别准确率的影响。