thinning algorithm 中文意思是什麼
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On the basis of thinning the auto - body film engineering drawings, a self adaptive precision vectorization algorithm for circles on the auto - body engineering drawings was presented
摘要在車身薄膜圖掃描圖像細化的基礎上，提出一種自適應精確向量化圖的演算法。 -
Vectorization method based on thinning algorithm used in the design prevails currently, whose progress is : after the binary scanned map images are thinned, recognize the skeleton captured
本文採用比較流行基於細化的矢量化方法作為整體設計思想。細化地圖掃描二值圖像后，對提取出來的骨架線進行識別。 -
After studying the nowadays methods, combining the characters of binary scanned maps images, the author designs a method to recognize and capture the digital geography information, which is based on thinning algorithm. a system is also realized by this method in the visual c + + programming environment
本文在研究、分析現有掃描圖像矢量化方法的基礎上，與地圖掃描二值圖像的特點相結合，設計了一種基於圖像細化演算法的地圖信息識別與提取的方法，並以此為理論指導在visualc + +環境下編程實現了一個自動矢量化實驗系統。 -
This thesis explains the necessity of the character recognition technology of the computer at first, describe the meaning in which the handwritten numeral discerns ; pretreatment technology of handwritten numeral recognition, including two value, line segmentation, word segmentation smooth, removing noising, standardization and thinning are discussed two value concretely discusses whole threshold value, some threshold value, dynamic threshold value and utilize space information to carry on threshold, which are several kinds of common method of choosing threshold value, especially utilize space information to carry on threshold value is describe in detail ; adopting to the foundation of thinning based on mathematics morphology, thinning algorithm of serials same and thinning algorithm of protecting shape are discussed ; afterwards, according to principle ' s diagram of the on - line character recognition, by analyzing the structure feature of the handwritten numeral, this thesis has proposed the online recognition te chnology of the free handwritten numeral based on the stroke feature and the online recognition technology of the free handwritten numeral based on the multistage classifying device. detail narrated noise removing, stroke characteristic definition and discernment, distance criterion of whole word match ; then under the foundation of handwritten numeral segmentation, off - line handwritten numeral recognition is researched. especially minimum distance classifying device, tree classifying device and adaptive resonance ( art ) network classifying device is discussed at the same time, believes degree analyses are introduced to integrate a lot of classifying devices ; at the end, the typical application of the handwritten numeral recognition was briefly narrated, its application in extensive data statistics, financial affairs, tax, finance and mail sorting have been explored
二值化時對整體閾值二值化、局部閾值二值化、動態閾值二值化和利用空間信息進行閾值選取幾種常用的閾值選取方法進行討論，特別對利用空間信息進行閾值選取進行了詳細論述；在對通過對基於數學形態學的細化的基礎上，討論序貫同倫形態細化演算法和保形的快速形態細化演算法；然後依據聯機字元識別原理框圖，分析了手寫數字的結構特點，提出了基於筆劃特徵的任意手寫數字在線識別技術和基於多級分類器任意手寫數字在線識別技術，對其中涉及的筆劃識別前的噪聲處理、筆劃間特徵量的定義及識別、整字匹配的距離準則進行了詳細敘述；繼而在對手寫數字的分割的基礎下對脫機手寫數字識別進行了研究，對基於最小距離分類器字元識別、基於樹分類器的字元識別、基於自適應共振（ art ）網路的字元識別分別進行了詳細討論，並引入置信度分析將多個分類器進行了混合集成；最後簡單闡述了手寫數字識別的典型應用，對其在大規模數據統計、財務、稅務、金融及郵件分揀中的應用進行了探索。 -
Firstly, the pretreatment of character to be recognized is researched, stressed discussing the subdivisional process of character, and a kind of fast shape preserving morphological thinning algorithm is used. in the following, how to construct the structure model on the basis of characteristic point ) sub - stroke and their interrelation is discussed, and a kind of method that describe sub - stroke through the feature of the sequence of curvature is brought forward. finally, the paper adopts the recognising model of printing number that base on repository, and describes the constructing method of repository
文中首先對待識別字元的預處理進行了研究，著重探討了字元的細化過程，採用了一種基於數學形態學的保形的快速細化演算法；接著探討了如何以特徵點和子筆段及其相互關系為基礎構造結構模型，提出了一種以曲率序列性質描述子筆段的方法：最後採用了以知識庫為基礎的印刷體數字識別模型，並詳細地描述了知識庫的構造方法。 -
In this dissertation, a combinatorial algorithm based on the directional segmentation is proposed for the preprocessing of the fingerprint images, this combinatorial algorithm is composed of normalization, directional image computation, directional filtering ( gabor filtering ), local self - adaptive binarization, noise elimination and thinning
本文的預處理演算法包括以下步驟:規一化、方向圖計算、方向濾波（採用gabor濾波） 、局部自適應二值化、二值化去噪和細化。 -
Upon that an efficient thinning algorithm based on borderline ( etab ) is proposed which treats with individual pixels point in each step and picks up unilateral edge points sequence as the framework of a character image
演算法每一步都針對單個的像素點作處理，並提取筆劃單側邊緣點序列作為字元圖像骨架。 -
We have studied pretreatment of fingerprint images with experiments, including all the algorithm implementations of the normalization of fingerprint image, estimation of orientation and frequency field, fingerprint image enhancement, extraction of fingerprint ridges, and thinning of fingerprint ridges. the result can be accepted
本文對指紋預處理進行了實驗研究，編程實現了指紋圖像歸一化，指紋圖像方向場的計算，頻率的計算，指紋圖像的濾波增強，指紋圖像的紋線提取（二值化） ，紋線細化。 -
An improved image template thinning algorithm
一種改進的圖像模板細化演算法 -
An improved template - based rapid thinning algorithm
一種基於改進后模板的圖像快速細化演算法 -
Then the gray image is transformed into a binary image through a one - by - one - point section - threshold binary algorithm. after that, a postprocessing is implemented on the given binary image. in the part of thinning algorithm, an improved thinning algorithm derived from the opta is introduced in, for the purpose of producing high quality skeleton of fingerprints, on which the more accurate fingerprint feature location and type are based
採用離散方向法來求取指紋的點方向圖，進而用直方圖法結合動態分塊得到指紋的塊方向圖；再對指紋圖像進行方向法濾波；然後使用逐點局部閾值法，對指紋圖像進行二值化處理；二值化后對二值圖進行后處理；細化演算法採用基於opta的改進細化演算法，可以獲得高質量的指紋骨架。 -
An image parallel thinning algorithm for serial computers
一種適于串列機實現的圖像并行細化演算法 -
Optimized topological thinning algorithm for virtual endoscopy
應用於虛擬內窺鏡系統的拓撲細化演算法的優化 -
A morphology - based thinning algorithm and a stroke extraction algorithm based on improved gradient is presented
提出了基於圖像形態學的漢字細化演算法及基於改進梯度法的漢字筆畫提取演算法。 -
In order to attain the line edges in images, all edges are thinned by improved sequential thinning algorithm to be one pixel wide at first
演算法從圖像中提取直線邊緣計算投影不變量，用於對目標建模並跟蹤。 -
Based on the analysis of quick thinning algorithm and improved opta thinning algorithm, a synthesized thinning algorithm was presented
分析兩種常用的細化演算法? ?快速細化演算法和改進的opta演算法各自的優缺點，並在此基礎上，提出了復合細化演算法。 -
According to the property of binary character image, this paper introduced a newly designed model used for thinning algorithm, which proved to be better than the traditional way. all the data are based on computer programming
在研究傳統細化演算法的基礎上，空出二值字元圖象的特點引入一類新的模板實現細化，並在軟體實現的基礎上獲得了理想的處理結果。 -
Thereof, the paper probes into directional smoothing filter method to implement binarization, which deduced noise of binary image, and an improved image template thinning algorithm is proposed in the paper against the deficiency of a classical image thinning algorithm, which is effective thinning algorithm acquiring satisfying thinning image
二值化演算法採用了方向平滑的思想，降低了二值化圖像的噪聲。針對一種經典細化演算法的不足，本文提出了一種改進的指紋圖像模板細化演算法，經實驗驗證能獲得較好的細化圖像。 -
The algorithms employed in this paper are redesigned or improved for grid images. for example, an adaptable moving window gray scale threshold image segmentation method is proposed originally, a parallel template matching thinning algorithm is improved greatly, a sub - pixel image processing algorithm based on b - spline interpolation is present independently. 3
其中獨立設計了自適應的移動窗口灰度閾值圖象分割法，優化設計了并行模板匹配細化演算法，獨立提出了基於三次均勻b樣條插值放大局部圖象的亞象素圖象處理演算法，並都取得了較好的處理效果。 -
The research in this article shows that the adaptive binarization filtering algorithm for gray character image is effective ; the thinning algorithm for chinese character images and the stroke - extraction algorithm can extract hen, su, pie, na four sorts stroke from chinese character images ; eight - shape code of chinese character can effectively indicates the trait of chinese character structure. the chinese character recognition system based on eight - shape code can effectively improve noise immunity and correct rate of the system
本文研究表明，灰度文本圖像二值化濾波演算法有效可行；漢字細化及筆畫提取演算法能夠提取出漢字中的橫豎撇捺四種筆畫；八形漢字識別碼能有效的表徵漢字的本質特性；基於八形漢字識別碼的仿人漢字識別演算法能夠有效提高系統的抗干擾性和識別正確率。
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