本文關(guān)鍵詞： 圖像測量 邊緣檢測 移動設(shè)備 相機(jī)標(biāo)定 人機(jī)交互　出處：《寧夏大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

【摘要】：圖像測量技術(shù)是以數(shù)字圖像處理為基礎(chǔ),結(jié)合了光學(xué)、電路、信號處理、計算機(jī)視覺處理等技術(shù)的高性能非接觸式測量技術(shù).如今平板電腦和智能手機(jī)等移動設(shè)備的應(yīng)用十分廣泛,圖像測量技術(shù)也逐漸應(yīng)用到移動設(shè)備上,走進(jìn)人們的日常生活中.針對現(xiàn)有的圖像測量軟件在移動設(shè)備上的應(yīng)用存在的誤差大,交互性差等不足,提出了本文研究的重點(diǎn)內(nèi)容.本研究結(jié)合數(shù)字圖像處理原理,對移動設(shè)備上人機(jī)交互的圖像測量的流程與算法進(jìn)行了深入研究,并通過對多組實(shí)物的測量來進(jìn)行驗(yàn)證.移動設(shè)備的圖像測量過程主要包括圖像預(yù)處理、圖像二值化、邊緣檢測、圖像分割、直線、圓偵測及區(qū)域成長、相機(jī)標(biāo)定等圖像處理技術(shù).其中,邊緣檢測采用二進(jìn)小波變換和改進(jìn)Canny算法融合的方法,可以檢測到更多圖像細(xì)節(jié),輪廓更加平滑完整,使得測量系統(tǒng)的結(jié)果更加精確;圖像分割采用人機(jī)交互的方法,由用戶劃分輔助;相機(jī)標(biāo)定方法也是由用戶根據(jù)自己的需求來進(jìn)行選擇,充分體現(xiàn)了本系統(tǒng)的交互性.在實(shí)驗(yàn)部分,分別通過幾組實(shí)物來進(jìn)行直線和圓的多項(xiàng)參數(shù)測量,并對測量結(jié)果及產(chǎn)生的誤差進(jìn)行分析.實(shí)驗(yàn)結(jié)果證明本研究所提的測量算法是可行且有效的,在采用移動設(shè)備攝像系統(tǒng)且攝像環(huán)境并不理想的情形下,測量精度依然能達(dá)到毫米級,可以滿足大部分測量系統(tǒng)的需要.
[Abstract]:Image measurement technology is based on digital image processing, combining optics, circuits, and signal processing. High performance contactless measurement technology such as computer vision processing technology. Nowadays, the application of mobile devices such as tablets and smart phones is very extensive, image measurement technology is also gradually applied to mobile devices. In view of the shortcomings of the existing image measurement software in the application of mobile devices, such as large error, poor interaction and so on. Based on the principle of digital image processing, the flow and algorithm of human-computer interaction image measurement on mobile devices are deeply studied. The image measurement process of mobile devices mainly includes image preprocessing, image binarization, edge detection, image segmentation, straight line, circle detection and region growth. Image processing techniques such as camera calibration, edge detection using binary wavelet transform and improved Canny algorithm fusion method, can detect more image details, contour more smooth and complete. The results of the measurement system are more accurate; The method of human-computer interaction is used in image segmentation, which is aided by user division. Camera calibration method is also selected by the user according to their own needs, fully reflecting the interaction of the system. In the experimental part, through several groups of physical objects to carry out a number of linear and circular parameters measurement. The experimental results show that the proposed measurement algorithm is feasible and effective in the case of mobile equipment camera system and the camera environment is not ideal. The accuracy of measurement can still reach millimeter level, which can meet the needs of most measurement systems.
【學(xué)位授予單位】：寧夏大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TP391.41

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本文編號：1491536