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基于能量分解的影像纹理多尺度分析 总被引:3,自引:0,他引:3
按照地维Cabor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测抑制和端点抑制理论,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-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 相似文献
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该文提出了一种Gabor小波域的概率子空间人脸识别方法,简称GPSA方法。考虑到Gabor小波在人脸识别中的优势,首先给出了一种改进的人脸图像Gabor特征描述方法,在此基础上建立基于Gabor特征的概率子空间模型,人脸识别按照概率匹配方式进行,从而有机集成了Gabor特征描述和基于类内、类间变化的概率子空间分析两者所提供的鉴别信息,增强了人脸识别系统的鲁棒性。在包括190人的人脸数据库上的实验结果表明,所提出方法的识别性能较现有的概率子空间分析方法有了较明显的改善。 相似文献
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在基于内容的图像检索中,纹理特征是一种重要而又难以描述的特征。为提高图像检索中纹理特征的提取效率,通过对Gabor滤波器滤波特点的研究,提出一种基于多尺度Gabor小波纹理的图像检索方法。设计了一组具有多种尺度和多个方向的滤波器组,选择并优化滤波器组的各参数,对图像进行滤波和特征提取。设计并实现了一个基于Gabor纹理... 相似文献
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In this paper, we propose Learned Local Gabor Patterns (LLGP) for face representation and recognition. The proposed method is based on Gabor feature and the concept of texton, and defines the feature cliques which appear frequently in Gabor features as the basic patterns. Different from Local Binary Patterns (LBP) whose patterns are predefined, the local patterns in our approach are learned from the patch set, which is constructed by sampling patches from Gabor filtered face images. Thus, the patterns in our approach are face-specific and desirable for face perception tasks. Based on these learned patterns, each facial image is converted into multiple pattern maps and the block-based histograms of these patterns are concatenated together to form the representation of the face image. In addition, we propose an effective weighting strategy to enhance the performances, which makes use of the discriminative powers of different facial parts as well as different patterns. The proposed approach is evaluated on two face databases: FERET and CAS-PEAL-R1. Extensive experimental results and comparisons with existing methods show the effectiveness of the LLGP representation method and the weighting strategy. Especially, heterogeneous testing results show that the LLGP codebook has very impressive generalizability for unseen data. 相似文献
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基于活动轮廓和Gabor滤波器的细胞分割 总被引:1,自引:0,他引:1
将Tony F Chan提出的基于曲线进化、Mumford-shah泛函和level set技术的没有边界泛函的活动轮廓模型与Gabor滤波器相结合,利用Tony F Chan提出的不依赖于边界梯度的活动轮廓能够检测出边界梯度较弱的物体边界与Gabor滤波器能在不同方向和频率增强图像的特点,先对原始细胞图像进行不同角度、不同频率Gabor滤波从而在不同方向增强细胞边界削弱细胞内部信息,然后把不同方向滤波后的图像融合以得到边界增强噪声减少的图像,最后在该图像上应用活动轮廓取得了较好的分割效果. 相似文献
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提出了一种基于改进Markov随机场模型的高分辨率SAR(Synthetic Aperture Radar,合成孔径雷达)图像建筑物分割算法.针对高分辨率SAR图像信噪比低和建筑物复杂纹理特性的特点,采用多尺度Markov随机场模型的最大似然准则方法获取图像的初始分割,并在传统Markov邻域能量模型基础之上提出一种新的基于Gabor纹理相似度的邻域势函数模型,采用ICM(Iterative Conditional Model,迭代条件模型)算法进行建筑物分割.多组实际高分辨率SAR图像的实验结果表明,与传统MRF算法等方法相比,本文方法具有更高的分割正确率,同时建筑物边界更为清晰平滑,分割效果较好. 相似文献
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应用Gabor小波和支持向量机的纹理分类 总被引:1,自引:1,他引:0
针对现有纹理分类算法的局限性,提出了一种基于Gabor小波和支持向量机的纹理分类算法.首先提取纹理Gabor分解后各子带的均值和方差作为特征向量,进而利用支持向量机算法实现分类.实验结果表明,与传统的分类方法相比,Gabor小波和支持向量机相结合能有效地提高分类正确率. 相似文献
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提出了基于Gabor小波和主元分析相结合的纹理图像分割算法.首先对纹理图像进行多通道滤波,获得了一系列滤波后的纹理图像.其次,借助于“能量测度”的概念,求解出各象素有效的纹理特征.为了进一步减少特征之间的信息冗余,降低聚类分析的计算负荷,采用主元分析(PCA)对所得的纹理特征进行降维.然后利用K-Mean算法实现纹理图像的分类.最后针对所提算法,进行了仿真试验. 相似文献
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To form a high-performance video quality predictor, we developed a framework for full-reference (FR) video quality assessment that integrates Spatio-temporal slice analysis (STS) to create a high-performance predictor of video quality. However, both gradient and Gabor are spatial–temporal structural capturers used for the simultaneous extraction of both spatial and temporal features. In this paper, we proposed a novel VQA algorithm via a joint model of gradient magnitude and Gabor features (JMG) between the STS images of the reference videos and their distorted counterparts to assess the degradation of video quality effectively. Firstly, gradient magnitude and the Gabor filter were constructed to extract the spatiotemporal features of the video sequence. However, the two-feature model combined to predict the perceptual quality of frames. This new proposed VQA model is known as the horizontal and time STS (HT-JMG) model. To further investigate the influence of spatial dissimilarity, we combined the frame-by-frame spatial T-JMG(S) factor with the HT-JMG and propose another VQA model, called the time, horizontal, and vertical STS (THV-JMG) model. Finally, the results of the experiment showed that the proposed method has a strong correlation with subjective perception and is competitive with state-of-the-art full reference VQA models. 相似文献
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TAOLiang LUOBin 《中国电子科技》2005,3(1):1-5
An efficient algorithm for the representation and approximation of linear time-varying systems is presented via the fast real-valued discrete Gabor transform. Compared with the existingalg orithm based on the traditional complex-valued discrete Gabor transform, the proposed algorithm runs faster, can more edsily be implemented in software or hardware, and leads to a more compact representation. Simulation results are given for demonstration. 相似文献
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R. Krishnamoorthi S. Sathiya devi 《Journal of Visual Communication and Image Representation》2012,23(1):18-30
In this paper, a simple and an efficient Content Based Image Retrieval which is based on orthogonal polynomials model is presented. This model is built with a set of carefully chosen orthogonal polynomials and is used to extract the low level texture features present in the image under analysis. The orthogonal polynomials model coefficients are reordered into multiresolution subband like structure. Simple statistical and perceptual properties are derived from the subband coefficients to represent the texture features and these features form a feature vector. The efficiency of the proposed feature vector extraction for texture image retrieval is experimented on the standard Brodatz and MIT’s VisTex texture database images with the Canberra distance measure. The proposed method is compared with other existing retrieval schemes such as Discrete Cosine Transformation (DCT) based multiresolution subbands, Gabor wavelet and Contourlet Transform based retrieval schemes and is found to outperform the existing schemes with less computational cost. 相似文献
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GAO Chao JIANG Da-qin Guo Yong-cai 《光电子快报》2006,2(5):386-388
Iris i mage recognition is a biometric feature recogni-tiontechnology developedin 1990s .Compared with oth-er biometric feature recognition,iris recognition hasmany advantages suchas uniqueness ,highstability,non-invasive,high peculiarity,anti-false and l… 相似文献
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基于Gabor小波的无边缘活动围道纹理分割方法 总被引:1,自引:0,他引:1
该文提出了一种基于Gabor小波的活动围道纹理分割新方法。该方法先用Gabor小波提取图像的纹理特征,再用Chan-Vese模型进行分割。与其它基于Chan-Vese模型的纹理分割方法相比,基于Gabor小波的活动围道的纹理分割方法有两个优点:一是同时使用纹理特征和灰度信息演化围道,可分割纹理图像和非纹理图像,分割方法的灵活性好;二是在分割多类目标时,采用多级分层式曲线演化方法解决了初始围道难以选择的问题。对自然界真实图像和遥感图像的分割实验结果说明,该文提出的分割方法精度高。 相似文献
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In RBIR, texture features are crucial in determining the class a region belongs to since they can overcome the limitations of color and shape features. Two robust approaches to model texture features are Gabor and curvelet features. Although both features are close to human visual perception, sufficient information needs to be extracted from their sub-bands for effective texture classification. Moreover, shape irregularity can be a problem since Gabor and curvelet transforms can only be applied on the regular shapes. In this paper, we propose an approach that uses both the Gabor wavelet and the curvelet transforms on the transferred regular shapes of the image regions. We also apply a fitting method to encode the sub-bands’ information in the polynomial coefficients to create a texture feature vector with the maximum power of discrimination. Experiments on texture classification task with ImageCLEF and Outex databases demonstrate the effectiveness of the proposed approach. 相似文献
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在复杂背景下,目标和背景的亮度或对比度变化以及光照不均匀等因素都会影响目标分割的结果,导致跟踪不稳定或失败。针对这些问题,介绍了基于相位一致性检测的目标跟踪算法。该算法利用log Gabor滤波器获取多方向相位一致图像,并根据最小尺度下6个方向log Gabor小波滤波图像的中值平方确定目标响应最大的3个方向,进行目标分割;利用分割结果确定目标大小、质心位置,进而实现波门自适应跟踪。实验表明,该算法不受亮度和对比度变化影响,采用一个固定的分割阈值,就能得到很好的分割结果,实现了对目标的稳定跟踪,具有较高的跟踪精度。 相似文献