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针对目前光学遥感图像处理与分析多集中在单目标检测及识别领域的局限性,多目标检测及识别成为了一个非常值得关注的研究课题,提出了一种光学遥感图像多目标检测及识别算法.首先,采用自适应阈值算法对目标快速检测分割;然后,结合图像金字塔思想和基于尺度不变特征变换的特征包(BoF-SIFT)特征提出了一种分层的BoF-SIFT特征表示目标的全局特征和局部特征,详细地描述了目标的分布特性;最后,采用基于径向基核函数的支持向量机为弱分类器的AdaBoost算法,经过不断更新权重之后得到一个强分类器对待测试目标图像完成分类识别,识别率达到了93.52%.实验结果表明,所提算法对多类遥感图像目标的分割效果显著,特征选取恰当,识别方法快速有效. 相似文献
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大尺度遥感图像中港口目标快速识别 总被引:1,自引:0,他引:1
提出一种在大幅面灰度遥感卫星图像中快速识别港口目标的方法.通过对图像多分辨率处理,采用阈值方法进行海洋和陆地的分割,并在基于块的统计特征表示方法的基础上,建立快速分割中、小型港口候选区域方法,再根据港口的固有特征(半封闭区域)实现快速的港口目标识别.通过18幅大尺度图像对算法进行测试,测试结果显示算法能够在不到3s时间内识别一幅10000像素×10000像素图像中的港口,识别正确率为93.9%. 相似文献
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为了使电视跟踪系统在自动作业时能够抵抗外界干扰,提出了一种基于二级精度的运动目标精确提取和快速跟踪方法。该方法采用二次帧差法与四分图像的双波门法对视频图像进行处理,自动获取运动目标的初始模板,然后根据轨迹预测算子对目标进行自适应特征匹配实现有效跟踪。在某电视跟踪系统中应用该算法进行低空飞行目标跟踪实验,取得了良好的跟踪效果。实验结果表明,该方法不仅满足目标跟踪的实时性,而且能够有效提高目标识别的准确率。 相似文献
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为了实现摄像头采集万用表表头图像的识别,研究了一种针对万用表数字图像的自动识别方法。首先对图像进行预处理,包括提取数字区域、提取区域图片灰度化、平滑处理。然后采用局部自适应二值化方法对图形进行二值化,以及对二值化图像进行形态学处理,并采用投影法对字符串进行分割。最后应用穿线法对数字进行识别,有效降低了误识率。实验结果表明,该方法对数字万用表识别效果好,快速简单。 相似文献
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提出一种新的基于形态重构与自适应小波算法的自动捕获红外弱小目标的方法,处理方法分为帧间与帧内处理两部分。首先论证了形态重构滤波器在完备格理论下可以实现对红外图像背景的重构,其次分析了自适应小波结合了线性小波强抑制噪声特性和形态小波好的保留目标细节特性,在红外图像能够获得更好的去噪性能,最后通过结合自适应阈值处理方法和准则处理实现了帧内处理,利用时间序列上的形态膨胀累加完成帧间处理。通过对三种不同的红外图像序列的仿真处理,实验结果表明自动捕获方法可以快速准确地捕获图像的弱小目标。 相似文献
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Moses Yael Shimshoni Ilan 《IEEE transactions on pattern analysis and machine intelligence》2009,31(7):1310-1324
We present a new method for recovering the 3D shape of a featureless smooth surface from three or more calibrated images illuminated by different light sources (three of them are independent). This method is unique in its ability to handle images taken from unconstrained perspective viewpoints and unconstrained illumination directions. The correspondence between such images is hard to compute and no other known method can handle this problem locally from a small number of images. Our method combines geometric and photometric information in order to recover dense correspondence between the images and accurately computes the 3D shape. Only a single pass starting at one point and local computation are used. This is in contrast to methods that use the occluding contours recovered from many images to initialize and constrain an optimization process. The output of our method can be used to initialize such processes. In the special case of fixed viewpoint, the proposed method becomes a new perspective photometric stereo algorithm. Nevertheless, the introduction of the multiview setup, self-occlusions, and regions close to the occluding boundaries are better handled, and the method is more robust to noise than photometric stereo. Experimental results are presented for simulated and real images. 相似文献
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Shinagawa Y. Kunii T.L. 《IEEE transactions on pattern analysis and machine intelligence》1998,20(9):994-1010
This paper proposes a novel method for matching images. The results can be used for a variety of applications: fully automatic morphing, object recognition, stereo photogrammetry, and volume rendering. Optimal mappings between the given images are computed automatically using multiresolutional nonlinear filters that extract the critical points of the images of each resolution. Parameters are set completely automatically by dynamical computation analogous to human visual systems. No prior knowledge about the objects is necessary The matching results can be used to generate intermediate views when given two different views of objects. When used for morphing, our method automatically transforms the given images. There is no need for manually specifying the correspondence between the two images. When used for volume rendering, our method reconstructs the intermediate images between cross-sections accurately, even when the distance between them is long and the cross-sections vary widely in shape. A large number of experiments has been carried out to show the usefulness and capability of our method 相似文献
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Computed tomography images are widely used in the diagnosis of intracranial hematoma and hemorrhage. This paper presents a new approach for automated diagnosis based on classification of the normal and abnormal images of computed tomography. The computed tomography images used in the classification consists of non-enhanced computed tomography images. The proposed method consists of four stages namely pre-processing, feature extraction, feature reduction and classification. The discrete wavelet transform coefficients are the features extracted in this method. The essential coefficients are selected by the principal component analysis. The features derived are used to train the binary classifier, which infer automatically whether the image is that of a normal brain or a pathological brain, suffering from brain lesion. The proposed method has been evaluated on a dataset of 80 images. A classification with a success of 92, 97 and 98 % has been obtained by artificial neural network, k-nearest neighbor and support vector machine, respectively. This result shows that the proposed technique is robust and effective. 相似文献
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提出了一种在细分曲面的过程中应用纹理映射的方法,即在控制网格逐步加细的过程中,纹理图像由无损压缩变换矩阵M进行变换并映射到相应的细分曲面上.这种方法既有效的避免了纹理接缝问题,又保证了纹理图像的完整性.该技术已经在Catmull-Clark细分曲面上得以实现,也可以用于其他任何面分裂型的细分曲面. 相似文献
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于海峰 《计算机光盘软件与应用》2011,(15)
随着生物医学的发展,医学已经从组织、器官的研究进入到显微细胞阶段,因此医学显微图像技术已经十分成熟,在医学领域的应用也越来越广泛。目前医学中常使用的医学显微图像多为细胞显微图像,通过对病变细胞显微图像的识别和分析来诊断疾病,诊断率较高。而能够准确的识别显微图像,选择合理的分割方法至关重要。本文简要的为大家介绍医学显微图像常用的分割方法。 相似文献
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由于RGB颜色空间不能很好贴近人的视觉感知,同时也缺少对空间结构的描述,因此采用兼顾颜色信息和空间信息的高斯颜色模型以获取更全面的特征,提出了一种基于高斯颜色模型和多尺度滤波器组的彩色纹理图像分类法,用于瓷器碎片图像的分类。首先将原始图像的RGB颜色空间转换到高斯颜色模型;再用正规化多尺度LM滤波器组对高斯颜色模型的3个通道构造滤波图像,并借助主成分分析寻找主特征图,接着选取各通道的最大高斯拉普拉斯和最大高斯响应图像,与特征图联合构成特征图像组用以进行参数提取;最后以支持向量机作为分类器进行学习和分类。实验结果表明,与基于灰度的、基于RGB模型的和基于RGB_bior 4.4小波的方法相比,本文方法具有更好的分类结果,其中在Outex纹理图像库上获得的分类准确率为96.7%,在瓷片图像集上获得的分类准确率为94.2%。此方法可推广应用到其他彩色纹理分类任务。 相似文献
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《Pattern recognition letters》1987,6(1):77-85
This paper describes a method for expanding color images in terms of three attributes of color perception. The Munsell color system is used as a color space defined in terms of Munsell Hue, Value, and Chroma. The B/W, R, G, and B images are measured wuth an optical scanner. We first present a mapping method for transforming the measured images into the color space pixel-by-pixel, and obtaining the estimated attribute images of Hue, Value, and Chroma. Next, an experiment of the image expansion is made with a color photograph of a flowering plant. The attribute images are displayed, and their statistics are represented by histograms. The results are discussed in detail, and the validity of the method is confirmed. 相似文献
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《Information Security Journal: A Global Perspective》2013,22(4):193-205
ABSTRACT In this paper, we propose an efficient method for encrypting images with few details using Rijndael and RC6 block ciphers in Electronic Code Book (ECB) mode. Images with few details are images with large areas of similar gray levels such as medical images, infrared images, and logo images. This leads to encryption leakage if the Rijndael or RC6 block ciphers are used. The proposed method solves this problem by using a preprocessing step to eliminate the repeated patterns before encryption. A comparison is held between encryption of images with few details with preprocessing and encryption without preprocessing. Experimental results verify that the proposed preprocessing method gives the encryption algorithms the ability to encrypt images with few details in an efficient manner in the ECB mode. 相似文献