The Research of Smart TV Software Frameworks based on Android

随着移动互联网络的兴起，电视机正在成为继计算机、手机之后的第三种信息访问终端。传统的电视软件框架不能适应电视网络化、智能化的要求，智能电视需要搭载网络化的、高效的开放软件平台。Android是互联网手机的智能操作系统，具有开源、免费的优点。本文研究的主要目的在于：移植Android系统到电视机，集成电视信号播放功能，设计电视软件框架，使Android平台适应电视的硬件规格特点，符合电视用户的使用习惯。 本文研究的主要内容为： 本文首先介绍Android中的一些概念，详细分析Android的系统内核和软件架构，重点研究在Android的移植涉及到的软件模块。 电视的基本功能是接收、处理...Digital devices such as computer and mobile phone that have wireless Internet capability are very popular today. Following the trend of mobile internet, television set with integrated internet capabilities is getting a lot of public attention. To be a smart device, TV must be built on a computing platform with more advanced computing ability and connectivity than contemporary basic TV set. Androi...学位：博士后院系专业：数学科学学院信息与计算数学系_运筹学与控制论学号：201017004

The research for shape-based visual recognition of object categories

摘要 视觉目标类识别旨在识别图像中特定的某类目标，基于形状的目标类识别是目前计算机视觉研究的热点之一。真实图像中物体姿态的多样性以及环境的复杂性，给目标的形状提取和识别带来巨大挑战。本文借鉴生物视觉机制的研究成果，对基于形状的目标类识别算法进行研究。主要研究内容如下： 1. 研究与形状认知相关的视觉机制，分析形状知觉整体性的生理基础及其生理模型。以形状知觉整体性为基础，建立基于形状的目标类识别系统框架。框架既重视整体性在自下而上的特征加工中的作用，也重视整体约束在自上而下的识别中的作用。 2. 受生物视觉上的整合野模型启发，本文提出了一个三阶段轮廓检测算法。阶段1利用结构自适应滤波器平滑...Categorical object detection addresses determining the number of instances of a particular object category in an image, and localizing those instances in space and scale. The shape-based visual recognition of object categories is one of hot topics in computer vision. The diversity of poses of targets and complexity of the environment in real images bring huge challenges to shape extraction and obj...学位：工学博士院系专业：信息科学与技术学院自动化系_控制理论与控制工程学号：2322006015337

Image retargeting through fusion of contour and region information

图像显示适应面临展示面积受限、长宽比不固定等问题,已经成为多媒体领域的研究热点之一。关键是收缩后能够凸显图像重要区域,保持连续,避免扭曲。提出了一种基于区域轮廓能量的图像显示适应算法,通过对图像的视觉显著度分析,得到符合人类视觉的图像区域轮廓能量分布图。这样,在缩放过程中,删除或复制表示非敏感内容的低能量线,并且在显示图像内容的同时突出图像中的显著区域。实验结果表明,该方法保持了图像中显著目标的原始比例,具有很好的抗畸变性能。Image retargeting techniques aim to adapt images to the target screens with different sizes and aspect ratios.This has been one of the hot topics in multimedia research.Its key is to highlight important areas,keep continuity and avoid twists.This paper presents a novel image retargeting method.Based on human visual attention,energy map and sensitivity energy maps are calculated by salient region features and weighted contour features,respectively.Thus,in the process of scaling these low-energy lines of the non-important content are deleted or inserted in order to avoid the important part of the image distortion.The experimental results show that the method has a good anti-distortion performance in the ranks of non-proportional scaling.教育部新世纪优秀人才支持计划(No.NCET-09-0126);河南省科技创新杰出青年基金项目;航空科学基金项目(No.20095155008);河南省高等学校青年骨干教师资助计划项目;郑州市科技局科技计划项目(No.10PTGG342-1

Contour Detection Based on Compound Receptive Field

自然场景自动检测目标轮廓是非常困难的。该文提出了一种基于复合感受野的图像轮廓检测仿生模型。在传统的基于抑制模型的基础上引入去抑制机制,在减少背景纹理干扰的同时,保护较弱的轮廓,从而尽量保持轮廓的完整性。实验结果表明,这种仿生模型可以有效地抑制纹理边缘,减少对轮廓的破坏,提高了自然背景中轮廓检测的性能。Contour detection from natural scenes is a tough task in computer vision.This paper proposes a visual model of contour detection based on compound receptive field.By inducing dis-inhibition mechanism to traditional model that was based on inhibition mechanism,inferences are suppressed while weak edges are preserved,so that the integrity of contour is improved.Experiment results show that this approach can suppress edges due to texture,protect object contour and improve the performance of contour detection from nature scene.国家973计划项目(2007CB311005);国家863计划项目(2006AA01Z129);福建省自然科学基金(A0710020);厦门大学985二期信息创新平台项目资助课

A bionic image filter using extended surround receptive field

针对图像处理的噪声平滑和对比度增强问题,提出了一种仿生图像滤波器.滤波器模拟初级视皮层自适应机制和大周边感受野(包括经典感受野、经典外周与去抑制区)3个区域之间的作用机制;引入自适应形状的核函数模拟自适应方向选择机制以平滑噪声;进而利用3个不同尺度的核函数来模拟大周边感受野的3个区域,通过3个区域的加权组合调节边缘区域的对比度.对灰度图像的处理实验表明:这种仿生图像滤波器可以有效地平滑图像噪声,增强细节特征,使图像在视觉效果上得到明显改善.De-nosing and contrast enhancement in image processing were dealt.Then a novel bionic image filter was proposed.The proposed filter simulated the spatially adaptive mechanism in primary visual cortex and the mechanism of the extended surround field(which included the classical receptive field,classical surround and dis-inhibition area).In order to smooth noises,shape adaption of kernel was introduced which simulated the spatially orientation-selective mechanism.Furthermore,three different bandwidth kernels were introduced to simulate these three areas of extended surround field and their weighted combination was used to adjust the contrast of edge regions.Experimental results on grey images show that this bionic filter is a fruitful method to smooth noise,enhance weak information and improve visual quality of image.国家重点基础研究发展计划资助项目(2007CB311005);福建省自然科学基金资助项目(A0710020);河南省教育厅自然科学基础研究计划资助项目(2007510023);河南省高等学校青年骨干教师资助计划项目;厦门大学985二期信息创新平台资助项

Novel approach to SVD-based image filtering improvement

提出一种提高SVd滤波性能的新方法。基于奇异值分解滤波可以有效地分析水平(垂直)方向的图像特性。根据图像的局部方向,自适应地调整待滤波区域的形状,使重采样后局部区域中的边缘垂直或水平,再对局部区域进行奇异值分解滤波;所得的结果加权平均,得到信号估计值。将这一算法应用于图像去噪,实验结果表明,新方法可以有效地提高SVd的滤波性能。A novel approach to improve the filtering efficiency of a noisy image is proposed.Image filtering based on SVD favors the denoising in the line(horizontal)and column(vertical)direction.Based on this property,the new denoising method adapts shape and size of block to local orientation before performing SVD filtering.Through over-complete representation in overlap regions,the proposed method performs well in denoising and preserving image details.国家重点基础研究发展规划(973)(No.2007CB311005);福建省自然科学基金计划资助项目(No.A0710020);厦门大学985二期信息创新平台项目(No.2004-2008)---

Detection of Tongue's Crack Based on Adaptive Threshold

舌象中的裂纹是中医舌诊中的重要内容。由于拍摄条件的不同,舌象质量有较大差异,传统的阈值选取方法并不适用。文中提出一种舌象裂纹检测的自适应阈值选择方法。该方法利用舌象的l*A*b色彩特征及区域的分裂-合并,对舌象进行区域分割,自适应地选取舌中部区域的色彩值作为阈值,对整个舌象进行裂纹提取。经验证,本方案对不同的舌象能较好地提取出裂纹,实现舌象裂纹诊断的客观化。Tongue's crack is a very important part of herbalist doctor diagnosis.For the different screen conditions,there are many differences on the tongue's quality.It is not effective to use the traditional threshold extraction algorithm.In order to solve this problem,propose a new adaptive threshold algorithm.Present the segmentation of the image of tongue by using the feature on tongue in the L*a*b color space and the split-combining algorithm.Then use the threshold,which is the color value extracted automatically in the middle of the tongue, to detect the crack of the whole tongue.The experiments show that this approach is able to distill the crack effectively to different tongue images,and achieve the objectivity of the diagnosis based on the tongue's crack.国家973项目资助(2007CB311005-02

农村留守经历大学生成人依恋及影响因素分析

目的探讨农村留守经历大学生(URLB)成人依恋现状及其影响因素。方法采用亲密关系体验问卷及自编问卷对河北省2所高校1062名有农村留守经历的大学生进行自填式问卷调查。结果成人依恋回避和依恋焦虑维度平均得分分别为(4.16±0.53),(3.82±0.82)分;多元线性回归分析表明,性别(β=0.236)及与父母联系频次(β=0.073)为URLB依恋回避的影响因素;性别(β=0.079)、留守家庭生活满意度(β=-0.074)、开始留守时间(β=-0.12)及与抚养人沟通情况(β=0.066)为URLB依恋焦虑的影响因素。结论性别以及童年期的留守经历对URLB成人依恋的发展有影响

Method for generation of painting-like artistic effect

图像的绘画效果由平滑纹理,保持并加强边角获得。给出一种鲁棒的由真实图像自动生成相应绘画效果的算法。算法根据图像的局部结构,自适应地调节滤波器的带宽与形状,来模拟画笔宽度和绘画技法。实验结果表明,算法的处理结果在视觉效果上接近绘画,并且对低质量的输入图像同样有效。Painting-like artistic effects can be achieved from photographic images by filters that smooth out texture details,while preserving or enhancing edges and corners.A novel image filter is proposed in this paper to generate painting-like effects.By adaptively changing its bandwidth and shape to image features,this filter can simulate the size of brush and painting skills.A large variety of experimental results show that the output of the proposed operator is visually similar to a painting.The proposed operator is robust to degradations of the input image such as blurring and noise contamination.国家重点基础研究发展规划(973)No.2007CB311005;福建省自然科学基金No.A0710020---

Human Face Detection Based on Cluster Skin Color Model

在安全检测、人机交互等人脸识别应用中,人脸的检测与定位是前期重要工作.该文提出一种改进的基于亮度聚类的肤色模型,并提出一种新的最佳阈值选择算法,设计了肤色检测算法流程.实验证明该算法提高了人脸检测的速度和鲁棒性.Human face localization and detection is often the first step in applications such as video surveillance and human-computer interface.In this paper,a skin color model based on cluster and a novel selection method of best limitvalue is presented.An algorithmic flow for human face skin color detection is proposed.Examples are given to show the improved detection speed of the proposed algorithm and its robustness.国家自然科学基金资助项目(60605012