Joint distortion model for progressive image transmission using error correcting arithmetic codes

A novel joint source channel distortion model was proposed, which can essentially estimate the average distortion in progressive image transmission. To improve the precision of the model, the redundancy generated by a forbidden symbol in the arithmetic codes is used to distinguish the quantization distortion and the channel distortion, all the coefficients from the first error one to the end of the sequence are set to be a value within the variance range of the coefficients instead of zero, then the error propagation coming from the entropy coding can be essentially estimated, which is disregarded in the most conventional joint source channel coding （JSCC） systems. The precision of the model in terms of average peak-signal-to-noise has been improved about 0.5 dB compared to classical works. An efficient unequal error protection system based on the model is developed, and can be used in the wireless communication systems.     

A bintree energy approach for colour image segmentation using adaptive channel selection

A new hierarchical approach called bintree energy segmentation was presented for color image segmentation. The image features are extracted by adaptive clustering on multi-channel data at each level and used as the criteria to dynamically select the best chromatic channel, where the segmentation is carried out. In this approach, an extended direct energy computation method based on the Chan-Vese model was proposed to segment the selected channel, and the segmentation outputs are then fused with other channels into new images, from which a new channel with better features is selected for the second round segmentation. This procedure is repeated until the preset condition is met. Finally, a binary segmentation tree is formed, in which each leaf represents a class of objects with a distinctive color. To facilitate the data organization, image background is employed in segmentation and channels fusion. The bintree energy segmentation exploits color information involved in all channels data and tries to optimize the global segmentation result by choosing the ＂best＂ channel for segmentation at each level. The experiments show that the method is effective in speed, accuracy and flexibility.     

多用户分布式虚拟海洋战场环境系统MUDVOE的实现技术

介绍创建一个多用户分布式虚拟海洋战场环境系统的相关理论和技术。该系统采用客户－服务器的通信模式和TCP传输协议实现了客户端和服务器端之间的通信，采用基于图形与图象混合建模和绘制技术实现了虚拟海洋战场环境构造。最后给出了该系统实现的软、硬件平台和实验结果。     

大新高速公路光端机配置方案

主要介绍了高速公路机电工程中的视频图象传输设备的选型，最大限度地保证视频传输图象的保真、无延迟，使图象更清晰、更直观。     

船体的三维绘图及彩色图象显示

为满足远洋船舶驾驶专业的教学需要，以ＡｕｔｏＣＡＤ为基础软件，用ＡｕｔｏＬＩＳＰ开发研制了船体三维图形及图象显示软件。该软件可以显示不同角度的三维网格船体图形，以及润色后的船体图象，还可以进行幼灯片的连续显示，在教学功能上可以取代船体模型。所采用的程序设计方法简化了船体空间复杂曲面的三维绘图问题。     

图象分析技术在磨粒识别中的应用

根据铁谱分析中磨粒的特征，讨论了磨粒图象识别的原理、方法和现状，设计了用于磨粒图象分析的多媒体系统。     

Turbo-Coded Modulation of EVRC Speech Encoder with Unequal Error Protection for Fading Channels

The Enhanced Variable Rate Codec (EVRC) is a standard for the Speech Service Opti6n 3 for Wideband Spread Spectrum Digital System, which has been employed in both IS-95 cellular systems and ANSI J-STC-008 PCS (Personal Communications Systems). This paper investigated the combination of turbo codes with Unequal Error Protection (UEP) and 16-QAM modulation for EVRC codec of Rate 1 to get power and bandwidth efficient coding scheme. The results show that the UEP system outperforms the Equal Error Protection (EEP) one by 1.45dB at BER of 10^-5.     

多灰度图象中信息提取及二值化

研究了黑斑、阴影、污迹等污染的多灰度文本图象，对其进行识别提取，得到清晰的二值文本图象，图象的二值化的实现有利于图象的分析，ＯＣＲ的处理，支票图象处理和图象传输，研究了ＹＤＨ算法，考虑了图象的局部信息，采用动态局部阈值法，并在ＰＣ－４８６计算机上实现了ＹＤＨ算法思想。     

由平行切片图象重建血管的三维模型

CT图象可用于了解生物的组织结构，若摄取样木的数十，成百个平行切片，依次逐步分析并采样得到的各平行切片的CT图象，运用计算机就可重建其组织结构的准确的三维模型，本文提出了用数字矩阵表示CT图象的方法，定义了图象数字矩阵的“交、差、并、抽壳”的运算规则，并运用这些运算规则对血管切片的CT图象进行处理，求出血管中轴线与各平行切片的交点及血管的直径，运用OLE自动化技术控制AutoCAD实现血管三维图的重建。