Efficient multilevel image segmentation through fuzzy entropy maximization and graph cut optimization

The fuzzy c-partition entropy has been widely adopted as a global optimization technique for finding the optimized thresholds for multilevel image segmentation. However, it involves expensive computation as the number of thresholds increases and often yields noisy segmentation results since spatial coherence is not enforced. In this paper, an iterative calculation scheme is presented for reducing redundant computations in entropy evaluation. The efficiency of threshold selection is further improved through utilizing the artificial bee colony algorithm as the optimization technique. Finally, instead of performing thresholding for each pixel independently, the presented algorithm oversegments the input image into small regions and uses the probabilities of fuzzy events to define the costs of different label assignments for each region. The final segmentation results is computed using graph cut, which produces smooth segmentation results. The experimental results demonstrate the presented iterative calculation scheme can greatly reduce the running time and keep it stable as the number of required thresholds increases. Quantitative evaluations over 20 classic images also show that the presented algorithm outperforms existing multilevel segmentation approaches.     

Detecting changes of the Yellow River Estuary via SAR images based on a local fit-search model and kernel-induced graph cuts

The Yellow River Estuary area of China is under great pressure from both human intervention and natural processes. For analysis of the changes in this area, this article presents a novel change-detection method based on a local fit-search model and kernel-induced graph cuts in multitemporal synthetic aperture radar images. Change detection involves assigning a label to every pixel. This task is naturally formulated in terms of energy minimization, which can be effectively solved by graph cuts. The difference image is transformed implicitly by a kernel function so that an alternative to complex modelling of the original data makes the piecewise constant model become applicable for graph cuts formulation. An issue is that graph cuts are sensitive to the initial estimate. The local fit-search model is proposed to approximate to the local histogram while selecting an optimal threshold for the initial labelling, which leads to an effective constraint for graph cuts and computational benefits as well. Visual and quantitative analyses obtained on the Yellow River Estuary data set confirm the effectiveness of the proposed method and that it outperforms the other state-of-the-art methods of change detection.     

基于SVM模型的妫水河叶绿素a浓度的遥感反演

以北京市妫水河为研究区,基于2011年9月25日和2012年9月30日的两期叶绿素a浓度实测数据和准同步的环境一号卫星(HJ-1A)多光谱数据,分别构建一元线性和多元支持向量机模型(SVMM),通过决定系数R²和平均相对误差对模型的精度进行检验,用模型进行水体叶绿素a浓度的反演,并分析其时空分布特征。研究表明:在样本数较少的情况下,SVM具有很强的非线性映射能力,能够取得较好的预测结果,更适用于反演叶绿素a浓度。时间分布上,研究区叶绿素a浓度呈增加趋势,均值上升了6.86 μg/L;空间分布上,深水区叶绿素a浓度值低于浅水区,上游高于下游。国产HJ-1A CCD2多光谱数据以其4 d的时间分辨率,在水质动态变化监测方面具有优势。     

在多媒体Authorware软件中如何控制电影图标

电影的创作需要精湛的技术和创新性的思想作为基础,声音和动画更是其制作过程中不可缺少的重要组成部分。或悠扬或动感的音乐、或旋转或跳跃的动画的加入让影视作品更加充实完满,带给观看者关的享受。为方便影视多媒体的制作与传播,Micromedia公司以流程图标作为基本,研发了一套专门提供声音图标和数字视频图标、在交互式应用程序中仍可加栽多媒体信息,同时对播放使用参数不设置任何控制的交互式媒体编辑制作软件,即Authorware。本文就运用Authorware软件中控制电影图标的功能介绍,探究优秀影视作品制作背后的魅力与奇迹。     

“微课”在高职《计算机应用基础》课程中的应用

随着现代化教学手段的不断发展,＂微课＂作为一种新的教学模式,在《计算机应用基础》课堂中的应用也越来越广泛。由于＂微课＂的特点与现代社会的发展节奏以及学生的认知特点等契合程度比较高,所以＂微课＂在高校教学中受到了广泛的欢迎。在本文中,我们试图通过对＂微课＂在高职《计算机应用基础》课程中的应用进行分析,以充分发掘＂微课＂在《高职计算机应用基础》课程教学中的优势作用。     

Mathematical model of deoxidization with post stirring in a combined blowing converter

Dissolved oxygen in the steel at the terminal of the converter smelting process is the main cause for the formation of oxide inclusions, and the high terminal oxygen content worsens the steel cleanness. However, post stirring in a combined blowing converter can promote the carbon-oxygen reaction in the liquid steel and reduce the dissolved oxygen content at the terminal of the converter smelting process. Thus, the mathematical model of deoxidization in the post stirring process was obtained, and the rationa...     

基于NIOSⅡ的数字电子钟设计与实现

以NioslCycloneEPIC20F400C7开发板为硬件平台,利用OuartusⅡ、SOPCBuilder和NiosⅡIDE软件设计来实现一个基于SOPC的多功能数字电子钟,该电子钟系统由FPGA部分（包括Nios11CPU核、内部定时器、Avalon总线等）、存储器部分（包括SRAM、FLASH）和外围元件部分（按键、LCD显示器）三大部分构成,经过C语言编程使该电子钟具有能够在液晶屏上显示帮助信息,具有时问、日期、状态提示的功能,并可利用4个按键对时间（小时和分钟）、日期（年月日）进行设置（包括退出设置）。经测试该电子钟具有较好的时间精度。     

超低功耗智能监护报警器研究与设计

该文针对现有国内婴幼儿智能护理产品的优缺点,深入分析了如何防止睡觉受凉和尿床等问题,并对国外婴幼儿护理产品和婴幼儿护理理论进行了深入研究,设计了一种新型的智能化监护报警器。该报警器以低成本的松翰单片机为核心,采用纽扣电池供电,实现了超低功耗设计。实验表明,该装置集尿湿报警、走失报警、踢被报警、发烧报警和人工呼救多功能于一体,在具有使用安全、性能可靠、低功耗、报警及时、准确等优点的同时,还具有极好的性价比。     

基于虚拟技术的单闭环直流调速系统的研究

本文建立了他励直流电动机虚拟模型,通过模型进行仿真算法分析,并利用虚拟技术,在仿真平台上实现仿真,在上位机上显示数据,对单闭环直流调速系统进行可行性研究与优化。仿真做的主要前期工作为模型建立,通过电枢回路方程和动力方程进而推导出电动机的数学模型方程,并对模型进行分析计算。后期工作对所建立的模型进行仿真,并调试出模型数据,进而得到仿真结果。设计的虚拟模型建立在虚拟仿真平台上,利用平台的模拟和数字输入输出端口进行信号的采集和传递,并利用仿真平台强大的内部资源进行运算分析,从而达到期望的研究效果。     

Study of UAV tracking based on CNN in noisy environment

Multimedia Tools and Applications - Recently, there are lots of tracking methods proposed to improve the performance of visual tracking in videos with challenging situations, such as background...