需要金幣： 1000 個金幣 |
資料包括：完整論文 |  |
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| 轉換比率：金額 X 10=金幣數量， 例100元=1000金幣 | 論文字數：14252 |  | |
| 折扣與優(yōu)惠：團購最低可5折優(yōu)惠 - 了解詳情 | 論文格式：Word格式(*.doc) |  |
摘要：機器視覺是研究如何使計算機對圖像數據產生智能化感知的一門科學。機器視覺的重要核心是對物體的識別，物體識別是機器視覺領域的一項基礎研究，物體識別技術推動著工業(yè)、醫(yī)學、交通、國防等鄰域朝著自動化、智能化方向快速前進，并有可能從根本上改變它們的發(fā)展模式。 有效的物體識別是基于計算機處理能力的基礎上，對獲取到的圖像進行分析處理，進行包括圖象灰度化和濾波處理等技術操作，將提取到的障礙物體的特征進行分割處理和細化處理，這樣就可以進行物體識別，構建出環(huán)境地圖而達到識別障礙物體的效果。在本論文中，詳細介紹了物體識別所需要的眾多技術和算法。在Windows平臺上，運用Visual Studio 2010進行操作，并實現了對物體進行識別的幾個模塊的功能，具有一定的代表性。 本課題就是研究機器視覺的物體識別技術，在此基礎上，建立機器人運行場地的環(huán)境模型，為其自主導航提供技術準備。 關鍵詞：機器視覺，物體識別，圖像處理
Abstract：Machine vision is studying how to make computer generated image data intelligent perception of a science. Machine vision to the important core is the object identification.Object recognition is a basis research in the field of machine vision. Object recognition technology push industry, medicine, transportation, national defense neighborhood toward automation, intelligent direction fast forward, and is likely to fundamentally change their model of development. Effective object recognition is based on the basis of computer processing ability to get to the image analysis processing, include the image intensity of operations and filtering techniques, obstacles to extract the characteristics of the object segmentation and thinning, this allows for object recognition, construct environment map and achieve the effect of identifying obstacles. In this thesis, introduces in detail the object recognition need many techniques and algorithms. In Windows platforms, using Visual Studio 2010 operation, and realize the object identification of some modules in the functions, has certain representativeness. This topic is the study of the machine vision object recognition technology, establish the environment model robot operating venue for its autonomous navigation, provide technical preparation based on this. Key words: machine vision, object recognition, image processing
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