GPU-based leaves contour generation algorithm

The implementation and optimization of the traditional contour generation algorithms are always proposed for the common processor. When processing high resolution images, the performance often exists low efficiency. A new graphics processing unit (GPU)-based algorithm is proposed to get the clear and integrated contour of leaves. Firstly we implement the classic Sobel operator of edge detection in GPU. Then a simple and effective method is designed to remove the fake edge and a heuristic algorithm is used to repair the broken edge. It is proved by the experiments that the results of our algorithm are natural and realistic in terms of morphology and can be good materials for the virtual plant.     

中美高中学段母语课程标准文学阅读部分比较分析

对中美两国高中母语课程标准中的文学阅读部分进行比较分析，发现二者的共同特点有：标准描述呈阶梯性、重视文学经典的阅读、由内容标准和学业质量标准共同构成。个性差异从取向、结构和内容三方面展开讨论，取向方面分别分析了两国高中母语课标整体的理念取向及其对课标内容产生的影响，结构方面从组织形式与组成部分两个角度进行对比，内容方面的差异体现在表现性任务样例、文学阅读核心知识和关键能力。针对共性个性的分析，提出我国高中母语课标文学阅读部分完善的四点建议：增强前后表述的连贯性，明晰过程与结果的关系；提供表现性任务样例，助力教师教学实践落地；明晰知识线和能力线，构筑素养落地的坚实基础；观照未来大学学习，拓宽思维能力培养的广度。