Description: 基于链码提取的傅立叶描述子,以及傅立叶反变换对图象边界进行重建
-chain code extraction based on Fourier descriptors, and the Fourier transform of image reconstruction border Platform: |
Size: 1024 |
Author:ff |
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Description: 一个基于支持向量机和傅立叶描述子的字符识别算法:傅立叶描述子表征字符的轮廓特征-One based on support vector machine and Fourier descriptors of the character recognition algorithm: Fourier descriptor contour characteristics characterization characters Platform: |
Size: 5120 |
Author:zzflash |
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Description: 关于傅立叶描述子的GUI界面,本程序可计算目标的一种形状描述符——轮廓傅立叶描述子。并可通过傅立叶描述符重构目标轮廓。-On the Fourier descriptors of the GUI interface, this program objectives computable descriptor of a shape- the outline of Fourier descriptors. Via Fourier reconstruction of the target outline descriptor. Platform: |
Size: 26624 |
Author:xiaoqinkun |
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Description: 状是含有高层语义信息的视觉特征,在基于内容的图像检索及图像识别中具有重要的应用价值。有很多种描述子可以描述图像的形状特征,傅立叶描述子可以把二维的图像轮廓信息简化成一维问题进行处理,应用非常广泛。然而自然图像的形状特征通常是杂乱的,有噪声的,提出了一种图像预处理方法,得到净化的形状图像,通过实验研究傅立叶描述子算法提取形状特征的效果。-Abstract Shape is a visual feature which contains intrinsic high-level semantics, and has a great application value in CBIR(Content-Based Image Retrieval) and IR(Image Recognition). There are many descriptors for shape feature. Fourier descriptor predigests 2-demensional image information to 1-demensional signal and be used widely. In fact, the shape of natural image is often messy and noisy. So, this paper proposes a preprocessing method which can clean the noisy shape image, and then researches and analyses the shape feature extraction with Fourier descriptor method with an experiment.
Keywords Shape, Fourier Descriptor, Feature Extraction, CBIR(Content-Based Image R
Platform: |
Size: 102400 |
Author:倪晓雷 |
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Description: 本实验要求编写课本上11.2.3节描述的傅立叶描绘方法。用实验09-02中的程序提取图12.18两幅图的边界,然后对每个边界选取256个描述点。选择的这256个点是在空间上尽可能均匀的点。获取每个图的傅立叶描绘子,确保每个图中的起始点是近似相同的点。分别用16,32,64和128个描绘系数逼近边界,并画出每一个结果。-Prepared at the request of the experimental section 11.2.3 textbook depicts Fourier method described. 09-02 with the experimental procedures in Figure 2 Extraction of Figure 12.18 the border, and then select the border of each description of 256 points. This choice is the 256 as far as possible in the space of the points evenly. Access to each of the Fourier descriptor map to ensure that each figure is the approximate starting point for the same point. 16,32,64, respectively, and coefficient of close to 128 described the border, and the results of each draw. Platform: |
Size: 95232 |
Author:jhm |
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Description: 傅立叶描述子是分析和识别物体形状的重要方法之一.利用基于曲线多边形近似的连续傅立叶变换方法 计算傅立叶描述子,并通过形状的主方向消除边界起始点相位影响的方法,定义了新的具有旋转、平移和尺度不变 性的归一化傅立叶描述子.与使用离散傅立叶变换和模归一化的传统傅立叶描述子相比,新的归一化傅立叶描述 子同时保留了模与相位特性,因此能够更好地识别物体的形状.实验表明这种新的归一化傅立叶描述子比传统的 傅立叶描述子能够更加高效、准确地识别物体的形状.-Fourier descriptor is to analyze and identify the important objects in the shape of one of the methods. The use of polygon-based curve near
Continuous Fourier transform method like Fourier descriptors, and through the main direction of the shape to eliminate the border from
Phase of the influence of starting point, define a new rotation, translation and scale invariance of the normalized Fourier
Ye descriptor. With the use of discrete Fourier transform and mode normalized compared with the traditional Fourier descriptors, the new
Normalized Fourier descriptors while maintaining the mold and phase characteristics, we are better able to identify the object shape
Like. Experiments show that the new normalized Fourier descriptors than the traditional Fourier descriptors to be more high-
Efficiency, accurately identify the shape of an object. Platform: |
Size: 6646784 |
Author:林传峰 |
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Description: 基于傅里叶描述子对旋转、平移等运动的不敏感性,识别目标-recognize the objects with rotation, translation, etc based on fourier descriptor. Platform: |
Size: 8192 |
Author:zheng lin |
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Description: 计算傅立叶描述算子,用C语言写的,包含cpp和h文件。-Calculation Fourier descriptor operator, written in C, including CPP and h files. Platform: |
Size: 3072 |
Author:xiaoling |
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Description: 傅里叶描述子用来描述和识别图像中有边缘的物体形状,本程序基于MATLAB,测试可用-Fourier descriptor is to analyze and identify the important objects in the shape of one of the methods. The use of polygon-based curve near Continuous Fourier transform method like Fourier descriptors, and through the main direction of the shape to eliminate the border from Phase of the influence of starting point, define a new rotation, translation and scale invariance of the normalized Fourier Ye descriptor. Platform: |
Size: 3072 |
Author:杨占 |
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Description: description de forme en utilisant FD coeeficeients Fourier utilisé pour la classification forme.
les étapes:
1. trouver les indices de frontières de l image de tranchant (binaire d entrée bordée d image voir le test par exemple)
2. trier les indices de sorte qu ils afin de distance
3. faire des complexes x + jy vecotr
4 Assurez-fft
5 prendre la première FD
6. font IFFT
link (http://www.mathworks.com/matlabcentral/fileexchange/26810-fourier-descriptor)-description de forme en utilisant FD coeeficeients Fourier utilisé pour la classification forme.
les étapes:
1. trouver les indices de frontières de l image de tranchant (binaire d entrée bordée d image voir le test par exemple)
2. trier les indices de sorte qu ils afin de distance
3. faire des complexes x + jy vecotr
4 Assurez-fft
5 prendre la première FD
6. font IFFT
link (http://www.mathworks.com/matlabcentral/fileexchange/26810-fourier-descriptor) Platform: |
Size: 2048 |
Author:chekos |
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