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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 | Hits:

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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.-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.
Platform: | Size: 349184 | Author: 劳世华 | Hits:

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