基于数字算法的印刷品缺陷特征的提取与分类方法研究

使用RLE方法,能够快速提取印刷品缺陷的多种特征。针对不同缺陷特征,使用基于径向基神经网络的方法,依据缺陷目标的特征,对缺陷进行了分类。实验结果显示,径向基神经网络通过对训练样本的训练,对测试样本能够达到良好的分类效果。     

图像传感型印刷套色控制方法的研究

套色控制是多色印刷过程中必备的工艺。设计了一种基于机器视觉的印刷套色控制方法。通过摄像头获取独特的色标图案,再建立一种快速查找表,确定各种色标颜色的范围,用行程长编码技术来进行图像重构,并以此来计算图案重心的位置,并与标准位置进行比较,判断套印是否有偏差。实验证明利用该方法能同时检测12种以上颜色,检测周期短,适应于高速印刷机的多色套准。     

基于位平面压缩的密文医学图像可逆信息隐藏算法

针对目前医学图像可逆信息隐藏算法嵌入容量小、需要对图像进行感兴趣区域（ROI）划分、接收方操作不灵活等缺点,结合医学图像特点,提出了一种基于位平面压缩的可分离式密文域信息隐藏算法。首先,将256级灰度医学图像分解成8个位平面,压缩高4个位平面,用峰值点像素值填充压缩后的空间,重构图像;然后,对重构的图像头部、中部、尾部分别加密;最后,在尾部根据嵌入密钥选取位置,通过直方图平移算法嵌入信息,接收方可根据密钥持有情况实现信息提取与图像恢复的可分离操作。实验结果表明,通过压缩图像预留空间来存放信息避免了辅助信息的传输,能有效提高嵌入容量,同时具有较高的安全性。     

基于RLE编码定位的数字水印算法

提出了一种二值水印嵌入方案。对水印图像进行游程编码,对载体图像进行离散小波变换,选择最高级细节子带中最大系数为嵌入目标,由密钥K1将水印图像的游程编码拆分成两部分,密钥K2和水印图像的RLE码值共同确定嵌入位置。检测时,根据游程码值和小波系数变化幅度两个原则检测水印信息。实验结果表明：该方案不仅具有很好的不可感知性,而且对常规图像处理和几何攻击均具有较好的鲁棒性。     

A Fast RLE-based Reconstruction Technique for Real-time Robot Tracking

Wheeled Mobile Robots (WMRs) are more and more widely used in advanced manufacturing.For real time tracking of WMRs,a novel way for real-time color image reconstruction based on Run Length Encoding (RLE) is present.In- dexed from a fast look up table (FLUT),color image can be encoded into multiple llne structures with different specified colors. Through object-oriented method,the RLE elements reconstruct the image features.Successful application of this technique for mo- bile robots identification is reported.     

RPF文件分析与读取

RPF文件在图像后期合成中扮演着重要的角色,通常情况下只能通过大型的三维动画软件才能读取,给一般应用带来了不便。在详细分析RPF文件结构之后,对文件的三大组成部分作出具体说明。同时给出一种解读RPF文件的程序,这个程序可以将RPF文件读取并显示为一幅图像,最后给出一个实例效果。     

一种改进的行程编码方法

介绍了一种改进的行程编码压缩方法。通过数据膨胀抑制、有损压缩和压缩路径优化的方法对行程编码进行了改进,并与经典行程编码做了测试效果的比较。经过对比,改进的行程编码算法的时间复杂度虽有所增加,但是图像质量没有损失,而且效率有了明显的提高。     

用Visual C++实现位图图像的压缩

本文通过对行程编码RLE的算法分析，提出了一种改进的RLE数据结构，提高了位图的压缩比，并将此思想通过Visual C 编程实现了位图图像的压缩。     

Design of wavelet transform based electrocardiogram monitoring system

The new age advancements in information technology due to materials and integrated circuit (IC) technologies and their applications in biomedical sciences have made the healthcare facilities more compact and affordable for the aging population. Market trends in healthcare and related devices indicate a sharp rise in their demand. Hence the researchers have converged the efforts on designing more smart and advanced medical devices using IC technology. Among these devices, cardiac pacemakers have become a recurrent biomedical device which is engrafted in the human body to detect and monitor a person's heart beating rate. The data thus generated is processed for various medical usages and devices via wireless methods. Cardiovascular diseases (CVDs) or diseases related to the heart are due to abnormalities or disorders of the heart and blood vessels. Till date, limited literature is available which focuses on a single technique that can perform all of the ECG signal denoising, ECG detection, lossless data compression and wireless transmission. In this work, a joint approach for denoising, detection, compression, and wireless transmission of ECG signal is proposed. The modified biorthogonal wavelet transform is used for denoising, detection and lossless compression of ECG signal. To reduce the circuit complexity, biorthogonal wavelet transform is realized using linear phase structure. Further, it is found in this work that the usage of modified biorthogonal wavelet transform increases the detection accuracy and CR of the proposed design. Also, in this work, the Wi-Fi-based wireless protocol is used for compressed data transmission. The proposed ECG detector achieves the highest sensitivity and positive predictivity of 99.95% and 99.92%, respectively, with the MIT-BIH arrhythmia database. The use of modified biorthogonal 3.1 wavelet transform and run-length encoding (RLE) for the compression of ECG data achieves a higher compression ratio (CR) of 6.271. To justify the effectiveness of the proposed algorithm, which uses modified biorthogonal wavelet 3.1transform, the results are compared with the existing methods, namely, Huffman coding/simple predictor, Huffman coding/adaptive, and slope predictor/fixed length packaging.     

PLE编码在关联数据挖掘中的应用

在关联数据挖掘领域利用RLE(Run-Length Encoding)编码可有效减少动态数据库计算时的数据量,提出了一种新的数据前处理算法,直接对存储器中的编码数据进行数据挖掘,并且在数据快速变化时能够有效更新编码数据,提升处理效能。