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A Novel Algorithm for Image Denoising Using DT-CWT 一种基于DT-CWT的图像去噪算法
Pub Date : 2017-06-30 DOI: 10.5121/SIPIJ.2017.8302
S. Faruq, K. Ramanaiah, K. Soundararajan
This paper addresses image enhancement system consisting of image denoising technique based on Dual Tree Complex Wavelet Transform (DT-CWT) . The proposed algorithm at the outset models the noisy remote sensing image (NRSI) statistically by aptly amalgamating the structural features and textures from it. This statistical model is decomposed using DTCWT with Tap-10 or length-10 filter banks based on Farras wavelet implementation and sub band coefficients are suitably modeled to denoise with a method which is efficiently organized by combining the clustering techniques with soft thresholding softclustering technique. The clustering techniques classify the noisy and image pixels based on the neighborhood connected component analysis(CCA), connected pixel analysis and inter-pixel intensity variance (IPIV) and calculate an appropriate threshold value for noise removal. This threshold value is used with soft thresholding technique to denoise the image .Experimental results shows that that the proposed technique outperforms the conventional and state-of-the-art techniques .It is also evaluated that the denoised images using DTCWT (Dual Tree Complex Wavelet Transform) is better balance between smoothness and accuracy than the DWT.. We used the PSNR (Peak Signal to Noise Ratio) along with RMSE to assess the quality of denoised images.
本文研究了基于对偶树复小波变换(DT-CWT)的图像去噪技术的图像增强系统。该算法首先对噪声遥感图像进行统计建模,适当地融合噪声遥感图像的结构特征和纹理特征。利用基于Farras小波实现的Tap-10或length-10滤波器组对该统计模型进行分解,并对子带系数进行适当建模,采用聚类技术和软阈值软聚类技术相结合的有效组织方法进行降噪。聚类技术基于邻域连通分量分析(CCA)、连通像素分析和像素间强度方差(IPIV)对噪声和图像像素进行分类,并计算合适的阈值进行去噪。将该阈值与软阈值技术相结合,对图像进行去噪。实验结果表明,该方法优于传统的和最先进的去噪技术,并评价了使用双树复小波变换(Dual Tree Complex Wavelet Transform, DTCWT)去噪后的图像在平滑性和准确性之间的平衡优于小波变换。我们使用PSNR(峰值信噪比)和RMSE来评估去噪图像的质量。
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引用次数: 0
To Develop a Dicom Viewer Tool for Viewing JPEG 2000 Image and Patient Information 开发用于查看JPEG 2000图像和患者信息的Dicom查看器工具
Pub Date : 2017-04-30 DOI: 10.5121/sipij.2017.8204
T. Baraskar, V. Mankar
Imaging and Communications in Medicine (DICOM) standard is an image archive system which allow itself to serve as an image manager that control the acquisition, retrieval, and distributions of medical images within entire picture archiving and communication The DICOM technology is suitable when sending images between different departments within hospitals or/and other hospitals, and consultant. However, some hospitals lack the DICOM system. In this paper proposed algorithm view and converts .dcm image files jpeg2000 standard image, whereby the image should be viewable, using with common image viewer programs. Now this files are ready to transfer via internet and easily viewable on normal computer systems using JPEG2000 viewer or on Linux platform and Windows platform.
医学成像和通信(DICOM)标准是一种图像存档系统,它可以作为图像管理器,在整个图像存档和通信中控制医学图像的获取、检索和分发。DICOM技术适用于医院内或/和其他医院的不同部门之间发送图像,以及顾问。然而,一些医院缺乏DICOM系统。本文提出了查看和转换。dcm图像文件为jpeg2000标准图像的算法,使该图像能够与常用的图像查看器程序一起使用。现在这些文件已经准备好通过互联网传输,并且可以在使用JPEG2000查看器或Linux平台和Windows平台的正常计算机系统上轻松查看。
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引用次数: 0
Malignant and Benign Brain Tumor Segmentation and Classification Using SVM with Weighted Kernel Width 基于加权核宽度支持向量机的恶性和良性脑肿瘤分割与分类
Pub Date : 2017-04-30 DOI: 10.5121/SIPIJ.2017.8203
Kimia Rezaei, H. Agahi
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引用次数: 4
Applying Edge Information in YCbCr Color Space on the Image Watermarking YCbCr色彩空间边缘信息在图像水印中的应用
Pub Date : 2017-04-30 DOI: 10.5121/SIPIJ.2017.8205
M. Jaba, Mosbah Elsghair, Najeb Tonish, Abdusalam Abugraga
Copyright protection has currently become a difficult domain in reality situation. an honest quality watermarking scheme might to have high sensory activity transparency, and may even be robust enough against potential attacks. This paper tends to propose the special domain based mostly watermarking scheme for color pictures. This scheme uses the Sobel and canny edge detection strategies to work out edge data of the luminance and chrominance elements of the colour image. The edge detection strategies are used to verify the embedding capability of every color element. The massive capacities of watermark bits are embedded into an element of enormous edge information. The strength of the projected scheme is analyzed considering differing kinds of image process attacks, like Blurring and adding noise.
版权保护目前已成为现实环境中的一个难点。一个诚实的高质量水印方案可能具有较高的感官活动透明度,甚至可能对潜在的攻击具有足够的鲁棒性。本文提出了一种基于特殊域的彩色图像水印方案。该方案采用Sobel和canny边缘检测策略计算彩色图像的亮度和色度元素的边缘数据。使用边缘检测策略验证每个颜色元素的嵌入能力。水印比特的巨大容量被嵌入到一个具有巨大边缘信息的元素中。考虑到不同类型的图像处理攻击,如模糊和添加噪声,分析了投影方案的强度。
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引用次数: 1
Arabic Handwritten Character Recognition Using Structural Shape Decomposition 使用结构形状分解的阿拉伯手写字符识别
Pub Date : 2017-04-30 DOI: 10.5121/SIPIJ.2017.8201
Abdullah A. Al-Shaher, E. Hancock
This paper presents a statistical framework for recognising 2D shapes which are represented as an arrangement of curves or strokes. The approach is a hierarchical one which mixes geometric and symbolic information in a three-layer architecture. Each curve primitive is represented using a point-distribution model which describes how its shape varies over a set of training data. We assign stroke labels to the primitives and these indicate to which class they belong. Shapes are decomposed into an arrangement of primitives and the global shape representation has two components. The first of these is a second point distribution model that is used to represent the geometric arrangement of the curve centre-points. The second component is a string of stroke labels that represents the symbolic arrangement of strokes. Hence each shape can be represented by a set of centre-point deformation parameters and a dictionary of permissible stroke label configurations. The hierarchy is a two-level architecture in which the curve models reside at the nonterminal lower level of the tree. The top level represents the curve arrangements allowed by the dictionary of permissible stroke combinations. The aim in recognition is to minimise the cross entropy between the probability distributions for geometric alignment errors and curve label errors. We show how the stroke parameters, shape-alignment parameters and stroke labels may be recovered by applying the expectation maximization EM algorithm to the utility measure. We apply the resulting shape-recognition method to Arabic character recognition.
本文提出了一个用于识别二维形状的统计框架,这些形状表示为曲线或笔画的排列。该方法是一种在三层结构中混合几何和符号信息的分层方法。每个曲线原语都使用点分布模型来表示,该模型描述了其形状在一组训练数据上的变化情况。我们为原语分配笔画标签,这些标签表明它们属于哪个类。形状被分解成一组原语,全局形状表示有两个组成部分。第一个是第二个点分布模型,用来表示曲线中心点的几何排列。第二个组件是一串笔画标签,表示笔画的符号排列。因此,每个形状都可以用一组中心点变形参数和允许的笔画标号配置字典来表示。层次结构是一个两层架构,其中曲线模型位于树的非终端较低级别。顶层表示允许笔画组合字典所允许的曲线排列。识别的目的是最小化几何对齐误差和曲线标记误差概率分布之间的交叉熵。我们展示了如何通过将期望最大化EM算法应用于效用度量来恢复笔画参数、形状对齐参数和笔画标签。我们将得到的形状识别方法应用于阿拉伯字符识别。
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引用次数: 0
A Novel Method for Person Tracking Based K-NN : Comparison with Sift and Mean Shift Method 一种基于K-NN的人跟踪新方法:与Sift和Mean Shift方法的比较
Pub Date : 2017-02-28 DOI: 10.5121/SIPIJ.2017.8104
Asmaa Ait Moulay, A. Amine
Object tracking can be defined as the process of detecting an object of interest from a video scene and keeping track of its motion, orientation, occlusion etc. in order to extract useful information. It is indeed a challenging problem and it’s an important task. Many researchers are getting attracted in the field of computer vision, specifically the field of object tracking in video surveillance. The main purpose of this paper is to give to the reader information of the present state of the art object tracking, together with presenting steps involved in Background Subtraction and their techniques. In related literature we found three main methods of object tracking: the first method is the optical flow; the second is related to the background subtraction, which is divided into two types presented in this paper, then the temporal differencing and the SIFT method and the last one is the mean shift method. We present a novel approach to background subtraction that compare a current frame with the background model that we have set before, so we can classified each pixel of the image as a foreground or a background element, then comes the tracking step to present our object of interest, which is a person, by his centroid. The tracking step is divided into two different methods, the surface method and the K-NN method, both are explained in the paper. Our proposed method is implemented and evaluated using CAVIAR database.
对象跟踪可以定义为从视频场景中检测感兴趣的对象并跟踪其运动,方向,遮挡等以提取有用信息的过程。这确实是一个具有挑战性的问题,也是一项重要的任务。计算机视觉领域,特别是视频监控中的目标跟踪领域吸引了众多研究者。本文的主要目的是向读者介绍目标跟踪的现状,同时介绍背景减法所涉及的步骤及其技术。在相关文献中,我们发现了三种主要的目标跟踪方法:第一种方法是光流;第二种是与背景减法相关的,本文将背景减法分为两种,其次是时间差分法和SIFT法,最后一种是均值移位法。我们提出了一种新的背景减法方法,将当前帧与我们之前设置的背景模型进行比较,这样我们就可以将图像的每个像素分类为前景或背景元素,然后通过他的质心来呈现我们感兴趣的对象,这是一个人。本文将跟踪步骤分为两种不同的方法:曲面法和K-NN法,并对两种方法进行了说明。利用CAVIAR数据库对该方法进行了实现和评价。
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引用次数: 0
Analysis of MMSE Speech Estimation Impact in West Sumatra's Noises 西苏门答腊岛噪声中MMSE语音估计影响分析
Pub Date : 2017-02-28 DOI: 10.5121/SIPIJ.2017.8102
Suardinata, V. Sayuthi, Zainul Efendy
This study aimed to estimate the original voice signal which is interrupted by noise with MMSE method based on Wiener filter. The Wiener filter is classified as the MMSE estimator studied by previous researchers. The study assessed the voice signal input count down by European woman that are distorted by two types of noises, the one is noise based on the outdoor location, sound of siren firefighter, and the other is the indoor location noise, which represented by noise in lecturer room in campus. The two process signal is estimated by MMSE estimator which approximated by Wiener filter that must have founded and counted the covariance of each signal processes are related to the system. Thus the researchers tried to estimate both types of sounds noisy European woman are due to interference noise source of fire fighter and faculty room and assess its impact in the form of graphs vote against a function of time, the pattern shape of the signal and SNR.
本研究旨在利用基于维纳滤波的MMSE方法对被噪声干扰的原始语音信号进行估计。维纳滤波器被归类为前人研究的MMSE估计器。本研究评估了欧洲女性的语音信号输入倒计时被两种噪音扭曲的情况,一种是基于室外位置的噪音,即消防队员的警报声,另一种是基于室内位置的噪音,以校园教室的噪音为代表。两个过程信号由MMSE估计器估计,该估计器由维纳滤波器逼近,必须建立并计算与系统相关的每个信号过程的协方差。因此,研究人员试图估计这两种类型的声音嘈杂的欧洲妇女是由于干扰噪声源的消防员和教师的房间,并评估其影响的图表形式投票反对一个函数的时间,模式形状的信号和信噪比。
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引用次数: 0
Robust Feature Extraction Using Autocorrelation Domain for Noisy Speech Recognition 基于自相关域的噪声语音识别鲁棒特征提取
Pub Date : 2017-02-28 DOI: 10.5121/SIPIJ.2017.8103
G. Farahani
Previous research has found autocorrelation domain as an appropriate domain for signal and noise separation. This paper discusses a simple and effective method for decreasing the effect of noise on the autocorrelation of the clean signal. This could later be used in extracting mel cepstral parameters for speech recognition. Two different methods are proposed to deal with the effect of error introduced by considering speech and noise completely uncorrelated. The basic approach deals with reducing the effect of noise via estimation and subtraction of its effect from the noisy speech signal autocorrelation. In order to improve this method, we consider inserting a speech/noise cross correlation term into the equations used for the estimation of clean speech autocorrelation, using an estimate of it, found through Kernel method. Alternatively, we used an estimate of the cross correlation term using an averaging approach. A further improvement was obtained through introduction of an overestimation parameter in the basic method. We tested our proposed methods on the Aurora 2 task. The Basic method has shown considerable improvement over the standard features and some other robust autocorrelation-based features. The proposed techniques have further increased the robustness of the basic autocorrelation-based method.
以往的研究发现,自相关域是一种适合于信噪分离的域。本文讨论了一种简单有效的降低噪声对净信号自相关影响的方法。这可以在以后的语音识别中用于提取下颌背侧参数。在考虑语音和噪声完全不相关的情况下,提出了两种不同的处理误差影响的方法。其基本方法是通过估计和从有噪声的语音信号中减去噪声的影响来降低噪声的影响。为了改进该方法,我们考虑在用于估计干净语音自相关的方程中插入语音/噪声互相关项,使用通过核方法得到的语音自相关估计。或者,我们使用平均方法对相互关系项进行估计。通过在基本方法中引入过估计参数,得到了进一步的改进。我们在极光2号任务上测试了我们提出的方法。与标准特征和其他一些基于鲁棒自相关的特征相比,基本方法显示出相当大的改进。所提出的技术进一步提高了基于基本自相关方法的鲁棒性。
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引用次数: 3
Vision Based Hand Gesture Recognition Using Fourier Descriptor for Indian Sign Language 基于视觉的印度手语傅立叶描述符手势识别
Pub Date : 2016-12-30 DOI: 10.5121/SIPIJ.2016.7603
Archana Ghotkar, P. Vidap, Santosh N. Ghotkar
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引用次数: 5
A FLUXGATE SENSOR APPLICATION: COIN IDENTIFICATION 磁通门传感器应用:硬币识别
Pub Date : 2016-12-30 DOI: 10.6084/M9.FIGSHARE.6114833.V1
H. Citak, M. Coramik, Y. Ege
Today, coins are used to operate many electric devices that are open to the public service. Washing machines, play stations, computers, auto brooms, foam machines, beverage machines, telephone chargers, hair dryers and water heaters are some examples of these devices These devices include coin recognition systems. In these systems, there are coils at two different radius, which become electromagnets when the current is passed through them. The AC current supplied to the coils creates a variable magnetic field, which induces the eddy current on the coil during the passing of money. The magnetic field generated by the Eddy current reduces the current passing through the coil. The amount of change of current in the coil gives information about the coin; the type of metal (element) and the amount of metal (element). In this study, a new coin identification system (magnetic measurement system) is designed. In this system, the magnetic anomaly generated by the coin as a result of applying direct current to the coils is tried to be detected by fluxgate sensor. In this study, sensor voltages are acquired in computer environment by using developed electronic unit and LabVIEW based software. In the paper, experimental results have been discussed in detail.
今天,硬币被用来操作许多对公众开放的电子设备。洗衣机、游戏机、电脑、自动扫帚、泡沫机、饮料机、电话充电器、吹风机和热水器都是这些设备的一些例子。这些设备包括硬币识别系统。在这些系统中,有两个不同半径的线圈,当电流通过它们时,它们就变成了电磁铁。提供给线圈的交流电产生可变磁场,在货币传递过程中在线圈上产生涡流。涡流产生的磁场减少了通过线圈的电流。线圈中电流的变化量提供了有关硬币的信息;金属(元素)的种类和金属(元素)的数量。本研究设计了一种新的钱币识别系统(磁测系统)。在这个系统中,硬币由于对线圈施加直流电而产生的磁异常试图通过磁通门传感器来检测。在本研究中,利用开发的电子单元和基于LabVIEW的软件,在计算机环境下获取传感器电压。本文对实验结果进行了详细的讨论。
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引用次数: 0
期刊
Signal and image processing : an international journal
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