电脑机箱创意改造设计

目的研究市场上现有的民用机箱,以此为参照对象进行创新,从而改良现有电脑机箱空间浪费和不能自选配置的问题,同时增强消费者的购买欲。方法对机箱进行TRIZ理论分析,找出机箱设计冲突,如机箱空间浪费和用户不能自主配置的问题。根据现有的冲突,在TRIZ理论中找出对应的3个解决原理,分别为分割原理、动态化原理、抛弃与修复原理,用以解决电脑机箱存在的问题。结论通过运用TRIZ理论,提出舍弃被用户淘汰不用的组件位置,分割机箱功能组件,从而使机箱模块化、动态化的改进方案,同时设计出一款可拆卸拼装、利于维修、满足用户需求的创新型机箱。在节省机箱空间的前提下,改变传统机箱在拼装后固有的静止状态,使机箱实现模块化、动态化的自主拼装。     

改进的基于空间特征的划痕检测

改进基于空间特征的划痕检测算法。在延续原有算法的有效性和稳定性的基础上,重新建立划痕空间特征量的阈值选取和宽度自适应参数之间的联系,并添加划痕长度的检测。经实验验证,和原算法相比,改进的基于空间特征的划痕检测算法能更多地检测到视频序列中的划痕,提高了9.2%的准确率,并且功能更加完善,能检测划痕长度。     

基于时空域特征的垂直划痕检测与修复

为检测与修复旧电影中常见的垂直划痕,分析垂直划痕在单帧和相邻帧图像的时域和空域特性。在分析垂直划痕形成原因、特征和微分运算基本原理的基础上,提出一种基于时空域特征的垂直划痕检测与修复算法。实验结果表明,该算法能有效地检测旧电影中的垂直划痕,并能够准确地修复垂直划痕处丢失的图像信息,经该算法修复后的旧电影具有较好的视觉效果。     

可持续性住宅设计的低技术策略——巴特罗之家(Casa Batllo)自然通风设计的启示

在新时期倡导节能和环保的可持续性发展观的背景下,针对住宅建筑的经济性原则和高新技术的高成本问题,提出多管齐下、从低技术创新的角度来回应建筑的可持续性设计问题,实现生态住宅的可消费性。通过对早期生态住宅的典范——巴特罗公寓通风设计的研析,展示了低技术策略的创造性价值和非常规思路;同时通过重新审视自然通风这一传统技术的现实意义及其在现代生态住宅设计中的应用潜力,借鉴巴特罗公寓的创新启示,提倡在当代可持续性住宅设计中进一步拓展低技术思路。     

生态课堂教学模式在VB程序设计的应用初探

本文运用生态学的理论和方法研究VB程序设计课堂中存在的问题,从多个角度对VB课堂进行深入探讨,力求从生态学的视角解读VB程序设计课堂,揭示其课堂中的失衡现象,进而构建VB程序设计生态课堂,将生态平衡的理念融入VB程序设计课堂教学中。     

Behavioural study of median associative memory under true-colour image patterns

Median associative memories (MED-AMs) are a special type of associative memory that substitutes the maximum and minimum operators of a morphological associative memory with the median operator. This associative model has been applied to restore grey scale images and provided a better performance than morphological associative memories when the patterns are altered with mixed noise. Despite their power, MED-AMs have not been adopted in problems related with true-colour patterns. In this paper, we describe how MED-AMs can be applied to problems involving true-colour patterns. Furthermore, a complete study of the behaviour of this associative model in the restoration of true-colour images is performed using a benchmark of 16,000 images altered by different noise types.     

改进的二值图像复原方法研究

为了解决传统基于GBB方法的正则化二值图像复原算法放大背景噪声的问题,提出了一种基于GBB方法的改进的正则化二值图像复原算法。根据提出的算法进行实验,定性的对两种算法的图像复原结果进行了比较。同时,利用ISNR选取最佳参数,且在不同程度噪声的影响下定量的评价了两种复原方法的结果。实验结果表明,该方法对于模糊二值图像的复原效果有显著提升,有效降低了噪声对图像复原的影响。     

Designing of a type-2 fuzzy logic filter for improving edge-preserving restoration of interlaced-to-progressive conversion

This paper focuses on recently advanced fuzzy models and the application of type-2 fuzzy sets in video deinterlacing. The final goal of the proposed deinterlacing algorithm is to exactly determine an unknown pixel value while preserving the edges and details of the image. To begin, we will discuss some artefacts of spatial, temporal, and spatio-temporal domain deinterlacing methods. In order to address the aforementioned issues, we adopted type-2 fuzzy sets concepts to design a weight evaluating approach. In the proposed method, the upper and lower fuzzy membership functions of the type-2 fuzzy logic filters are derived from the type-1 (or primary) fuzzy membership function. The weights from upper and lower membership functions are considered to be multiplied with the candidate deinterlaced pixels. Experimental results proved that the performance of the proposed method was superior, both objectively and subjectively to other different conventional deinterlacing methods. Moreover, the proposed method preserved the smoothness of the original image edges and produced a high-quality progressive image.     

General Adaptive Neighborhood Choquet Image Filtering

A novel framework entitled General Adaptive Neighborhood Image Processing (GANIP) has been recently introduced in order to propose an original image representation and mathematical structure for adaptive image processing and analysis. The central idea is based on the key notion of adaptivity which is simultaneously associated with the analyzing scales, the spatial structures and the intensity values of the image to be addressed. In this paper, the GANIP framework is briefly exposed and particularly studied in the context of Choquet filtering (using fuzzy measures), which generalizes a large class of image filters. The resulting spatially-adaptive operators are studied with respect to the general GANIP framework and illustrated in both the biomedical and materials application areas. In addition, the proposed GAN-based filters are practically applied and compared to several other denoising methods through experiments on image restoration, showing a high performance of the GAN-based Choquet filters.