基于直方图熵和遗传算法的图像分割法

图像分割是计算机视觉研究中一个老而难解决的问题。本文提出了一种基于灰度图像的直方图的熵和遗传算法进行图分割的方法，以灰度图像的直方图熵作为评价标准，把图像分割问题定义为一个优化问题，利用遗传算法的寻优高效性，搜索到能使分割到最优的分割参数－－图像分割阈值。     

新一代视频压缩标准H.264中数据的变换和量化

H.264协议是ITU-T和ISO标准化组织共同制定的新一代图像压缩标准。本文简要介绍了H.264协议的优点，详细分析了其中的变换与量化模块，包括变换的分类及原理，量化的过程。     

对混合高斯随机数参数估计矩方法的改进

用一般矩方法进行混合高斯随机敬的参数估计需要计算多个非线性方程,改进后的矩方法把非线性方程化成了线性方程。本文提供了它的公式推演过程以及实验结果。     

Novel Facial Features Segmentation Algorithm

An efficient algorithm for facial features extractions is proposed. The facial features we segment are the two eyes, nose and mouth. The algorithm is based on an improved Gabor wavelets edge detector, morphological approach to detect the face region and facial features regions, and an improved T-shape face mask to locate the extract location of facial features. The experimental results show that the proposed method is robust against facial expression, illumination, and can be also effective if the person wearing glasses, and so on.     

基于粒子滤波的无人机电视导引系统目标跟踪算法研究

为了实现直接攻击无人机的自动导引,设计了一种适用于小型攻击无人机的可见光电视导引系统,介绍了系统硬件构成。针对图像跟踪中的非线性滤波问题,采用了粒子滤波算法。在分析了粒子滤波算法中的退化现象后,设计了一种新的重采样算法。算法中样本的权值将直接决定这个样本是否应该被保留或者放弃,和这个样本以后的使用次数,权值大小的区分采用基于统计学分析的起始值。在粒子滤波的框架下,具体提出了一种基于粒子滤波的相关跟踪算法。算法仿真表明新的粒子滤波算法跟踪精度比以前的算法有较大提高。     

CMOS图像数据转换方法的研究与实现

介绍了1/2英寸300万像素CMOS数字图像传感器MT9T001.用FPGA完成了图像传感器的参数配置,给出了测试结果.提出了一种硬件上简明可行的Bayer数据到RGB数据的格式转换设计方案,用FPGA实现,最后应用到某多路图像采集系统中.     

含噪图像中类线像素DWA和SCR恢复方法

分析了小波、脊波和曲线小波等方法用于含噪图像中类线像素恢复的不足.针对它们的缺点,提出了一种用于各向异性检测的方向算子集合的结构和统一规范.利用粗糙检测、淘汰和平均(DWA)方法,通过检测、淘汰和加权平均,实现了含噪图像中类线像素的恢复;利用收缩、选择和记载(SCR)方法,通过收缩、连接和记载操作,实现了含噪图像中类线像素的分割工作.仿真试验结果证明了提出算子的合理性和相关类线像素恢复及分割方法的准确性、有效性、局限性和一致性.     

Face recognition using illuminant locality preserving projections

A novel supervised manifold learning method was proposed to realize high-accuracy face recognition under varying illuminant conditions.The proposed method,named illuminant locality preserving projections(ILPP),exploited illuminant directions to alleviate the effect of illumination variations on face recognition.The face images were first projected into low-dimensional subspace.Then the ILPP translated the face images along specific direction to reduce lighting variations in the face.The ILPP reduced the distance between face images of the same class,while increase the distance between face images of different classes.This proposed method was derived from the locality preserving projections(LPP)methods,and was designed to handle face images with various illuminations.It preserved the face image’s local structure in low-dimensional subspace.The ILPP method was compared with LPP and discriminant locality preserving projections(DLPP),based on the YaleB face database.Experimental results showed the effectiveness of the proposed algorithm on the face recognition with various illuminations.     

Fast Intra Downsizing Based on Direction for H.264/AVC Transcoding

A fast algorithm based on direction in intra frame downsizing in H.264 is proposed, which used modes information of macroblocks before transcoding and the direction relation of modes between decoding and re-encoding in transcoding. This algorithm also made use of statistics between decoded modes and re-encoded modes, which came from a lot of sequences data experiments. Without full modes encoding, it can improve the speed of reducing intra-prediction frame resolution obviously. Comparing to traditional transcoding, it only needs to compute one of thirteen modes in re-encoding. The experiments show that this algorithm can significantly speed up 92 percent transcoding time in intra-prediction frame of H.264 with slight PSNR degradation. It also can support an improvement in real-time for transcoding and ability of bandwidths changing.     

基于声卡的实时语音质量评价系统

针对目前语音质量评价系统成本高、设计复杂且不能实时评分,提出了基于声卡的实时评价系统。该系统以ITU-T P．862标准中的语音评价算法PESQ为核心,采用声卡作为语音播放和采集装置,利用多线程技术,以廉价的方式实现语音实时评分。并且,以虚拟仪器Labwindows／CVI为平台,方便显示从PESQ算法中提出的语音参数。测试表明,该系统评分准确,可快速判断和分析语音设备的性能。