计算机工程与应用
計算機工程與應用
계산궤공정여응용
COMPUTER ENGINEERING AND APPLICATIONS
2015年
8期
148-152,204
,共6页
特征离散点计算%行分割%反馈式分列行投影
特徵離散點計算%行分割%反饋式分列行投影
특정리산점계산%행분할%반궤식분렬행투영
feature discrete-point computing%line segmentation%feedback row projection with sub-block
将图像分析实践中的经验知识与粒计算的基本思想相结合,总结形成了特征离散点计算,并将其应用于自然手写汉字文本行分割当中。在特征离散点计算的结构化问题求解框架下,提出了一种反馈式分列行投影文本行分割方法,分为特征离散点选择、特征离散点采样与优化、特征离散点编组与反馈以及行边缘优化四个环节。该方法在哈尔滨工业大学多人手写数据库上取得了相对以往算法较好的实验结果,同时分割速度较快。
將圖像分析實踐中的經驗知識與粒計算的基本思想相結閤,總結形成瞭特徵離散點計算,併將其應用于自然手寫漢字文本行分割噹中。在特徵離散點計算的結構化問題求解框架下,提齣瞭一種反饋式分列行投影文本行分割方法,分為特徵離散點選擇、特徵離散點採樣與優化、特徵離散點編組與反饋以及行邊緣優化四箇環節。該方法在哈爾濱工業大學多人手寫數據庫上取得瞭相對以往算法較好的實驗結果,同時分割速度較快。
장도상분석실천중적경험지식여립계산적기본사상상결합,총결형성료특정리산점계산,병장기응용우자연수사한자문본행분할당중。재특정리산점계산적결구화문제구해광가하,제출료일충반궤식분렬행투영문본행분할방법,분위특정리산점선택、특정리산점채양여우화、특정리산점편조여반궤이급행변연우화사개배절。해방법재합이빈공업대학다인수사수거고상취득료상대이왕산법교호적실험결과,동시분할속도교쾌。
Combined the empirical knowledge of image analysis with the concept of granular computing, feature discrete-point computing is summarized and developed in this paper, which is used in the line segmentation of natural handwritten Chinese documents. According to the structured problem solving framework of the feature discrete-point computing, a line segmentation method based on feedback row projection with sub-block is proposed, which are divided into four stages, including feature discrete-point’s selecting, sampling and optimizing, grouping and feedback, and line-edge optimizing. This method achieves better experimental results on Harbin Institute of Technology-Multiple Writers Database with faster segmenting speed, comparing with existing methods.