基于笔触特征三角形的手写汉字书法效果美化方法

提出笔触特征三角形方法,它为手写字字形骨架添加毛笔书法效果,以达到美化手写字的目的。该方法首先 提取手写数据中的书法特征和字形结构特征点集,构成字形骨架;然后通过添加笔触特征三角形序列生成笔画宽度信 息;最后利用I3-样条曲线对生成的手写字轮廓线进行平滑,得到最终美化结果。该方法仅利用计算机采集到的手写 汉字的点线坐标信息,以三角形方法为手写汉字添加书法特征,适用于各种手写汉字采集设备。     

抽油机冲次自动调节技术研究与应用

随着青海油田数字化油田的不断建设与完善,大部分油水井均已实现井口各项参数的实时采集、传输、计算、诊断、发布等功能,为油井的正常生产提供了及时、准确的数据支持。抽油机采油作为采油井的一种生产方式,其运行参数(包括冲程、冲次、最大最小载荷等)的调整对油井的高效生产起着至关重要的作用。本文描述了如何充分利用数字化油田中油井远程自动化采集装置所实时采集的采油井的各项生产参数(示功图、功率、电压、电流),通过控制现场抽油机变频控制器的频率输出,最终实现对抽油机冲次实时调节的全闭环智能控制。     

Development of a system based on 3D vision,interactive virtual environments,ergonometric signals and a humanoid for stroke rehabilitation

This paper presents a stroke rehabilitation (SR) system for the upper limbs, developed as an interactive virtual environment (IVE) based on a commercial 3D vision system (a Microsoft Kinect), a humanoid robot (an Aldebaran's Nao), and devices producing ergonometric signals. In one environment, the rehabilitation routines, developed by specialists, are presented to the patient simultaneously by the humanoid and an avatar inside the IVE. The patient follows the rehabilitation task, while his avatar copies his gestures that are captured by the Kinect 3D vision system. The information of the patient movements, together with the signals obtained from the ergonometric measurement devices, is used also to supervise and to evaluate the rehabilitation progress. The IVE can also present an RGB image of the patient. In another environment, that uses the same base elements, four game routines – Touch the balls 1 and 2, Simon says, and Follow the point – are used for rehabilitation. These environments are designed to create a positive influence in the rehabilitation process, reduce costs, and engage the patient.     

Stroke extraction based on ambiguous zone detection: a preprocessing step to recover dynamic information from handwritten Chinese characters

A method of stroke extraction based on ambiguous zone detection is presented to facilitate the recovery of dynamic information from static handwritten Chinese character images. First, ambiguous zones are detected using feature points of the skeleton and the contour information around them. Then, a graph is built to represent each character, and the continuity of sub-strokes is analyzed using Bayesian classification. Several constraint conditions are proposed to search stroke paths in the graph and two criteria are also utilized to deal with multi-traced sub-strokes. Finally, strokes are reconstructed by B-spline interpolation. Experimental results show that the proposed method can detect the ambiguous zones accurately, and is feasible and effective for stroke extraction.     

平衡火罐疗法联合重复经颅磁刺激对 脑卒中后疲劳患者疲劳程度的影响

摘 要:目的 观察平衡火罐疗法联合重复经颅磁刺激对脑卒中后疲劳患者疲劳程度的影响。方法 收集我院2020年6月—2021年9月于脑病科、针灸科住院的脑卒中后疲劳患者80例。采用随机数字表法分为对照组和治疗组,每组各40例。对照组给予常规基础治疗及康复训练,每日1次,共治疗4周,治疗组在对照组基础上加平衡火罐疗法（每周 2 次）和重复经颅磁刺激治疗,每日1次,共治疗4周。分别于治疗前和治疗4周后,采用疲劳严重程度量表（FSS）、汉密尔顿抑郁量表（HAMD）、汉密尔顿焦虑量表（HAMA）、匹兹堡睡眠指数（PSQI）对两组患者疲劳程度、情绪状态、睡眠情况进行评估,并比较两组患者治疗前后各评分变化。结果 治疗后,两组患者的FSS、HAMD、HAMA、PSQI评分均较治疗前明显改善（P＜0.05）,且治疗组改善幅度明显优于对照组,差异有统计学意义（P＜0.05）。结论 平衡火罐疗法联合重复经颅磁刺激能有效改善脑卒中后疲劳患者的疲劳程度。     

基于分层块过滤和笔划特征的场景文字提取方法

场景文字包含了重要的场景图像的语义信息。因此将场景图像中出现的文字抽取出来,将会对场景图像的内容分析、检索和浏览提供有益的帮助。提出的场景文字提取方法,是在边缘检测的基础上,使用分层块过滤的方法在不同尺度上过滤背景,产生场景文字区域,然后对聚合出来的文字区域根据笔划颜色和笔划宽度方面的特征进行二值化分割得到二值化文字图像,这些二值化后的文字区域图像可以作为OCR引擎的输入进行识别,从而达到提取场景图像语义信息的目的。分层块过滤的方法能较好地过滤背景聚合产生文字区域,利用文字的笔划特征也能有效地分割出文字笔划像素。实验结果也证明了方法的有效性。     

用于支票印鉴鉴别的图像预处理及配准算法

为了消除支票印鉴自动鉴别系统中由于不同的盖印条件引起的印鉴质量变化,该文提出了一种印鉴图像预处理及配准算法,即首先利用彩色信息将印鉴灰度图从支票背景中分割出来,然后利用基于梯度值的动态阈值实现印鉴图像的二值化。为了消除印鉴中存在的笔划连接和笔划残缺,该文提出了一种笔划填充和骨架校正算法。实验证明该算法具有较强的适应性、可靠性和实用性。     

On-line recognition of cursive Korean characters using DP matching and fuzzy concept

This paper proposes an on-line recognition method of cursive Korean characters based on dynamic programming (DP) matching and fuzzy concept. The proposed algorithm, invariant to rotation and size, reduces greatly the computational requirement of DP matching by matching phonemes rather than character patterns, where the angle difference and the ratio of lengths between input and reference patterns are adopted as matching features. Correct matching of poorly-written cursive characters becomes possible by introducing the fuzzy concept in representing phoneme features and the positional relationships between adjacent phonemes. Computer simulation results show the effectiveness of the proposed algorithm.     

Off-line handwritten Korean character recognition based on stroke extraction and representation

In this paper, we propose an off-line recognition method for handwritten Korean characters based on stroke extraction and representation. To recognize handwritten Korean characters, it is required to extract strokes and stroke sequence to describe an input of two-dimensional character as one-dimensional representation. We define 28 primitive strokes to represent characters and introduce 300 stroke separation rules to extract proper strokes from Korean characters. To find a stroke sequence, we use stroke code and stroke relationship between consecutive strokes. The input characters are recognized by using character recognition trees. The proposed method has been tested for the most frequently used 1000 characters by 400 different writers and showed recognition rate of 94.3%.     

Constructing Chinese characters: keypad design for mobile phones

Increased use of mobile phones and associated services in China highlights the need for effective Chinese input methods for mobile devices. Mapping thousands of characters to a standard telephone keypad is a significant challenge. Structure-based methods provide an appealing known-character/known-code solution, but assigning multiple strokes to each key forces users to learn new, often unfamiliar, mappings. Using an established stroke input method, our study revealed important effects of keypad legend on performance. Novice user performance was evaluated with several alternative keypad designs. The results confirmed that both abstract symbols and concrete examples helped improve the usability of the keypad in Chinese text-entry tasks. Further, combining abstract symbols and concrete examples resulted in performance nearly tripling as compared to the original design. The stroke-to-key mapping accuracy also increased significantly. Handwriting analysis confirmed that the reduced errors are directly associated with the keypad-based text-entry technique.