基於機器視覺的車道線檢測系統實現的思路：
The realization of lane detection system based on machine vision:
視頻採集部分：攝像頭採集分為單目採集與多目採集， 雙目採集採用立體視覺檢測定位方法， 雖然對於恢復物體的深度資訊比較容易， 但是圖像共軛像點的匹配問題， 卻在很大程度上限制了它的應用。 而採用單目視覺檢測的方法， 即通過一個攝像機來採集圖像， 就可以完美的解決這個問題。
Video collection part: camera for monocular acquisition and multi view acquisition, acquisition method for detecting and locating by binocular stereo vision, while the depth information recovery of objects is relatively easy, but the image conjugate image point matching problem, but limits its application to a great extent. The method of monocular vision detection, that is, to collect images through a camera, can solve the problem perfectly.
雖然， 這種方法得到的圖像不包含物體的深度資訊， 但是， 如果把時間看作第三軸線， 我們便可以從連續的視頻圖像中得到准三維圖像圖像預處理部分：包含圖像灰度化，
Although the images got by this method does not contain the depth information of objects, but if the time as the third axis, then we can get the quasi three-dimensional image image preprocessing part from the video images including gray image, image contrast enhancement, image filtering, image enhancement, edge detection and region information growth information fusion of several parts.
基於機器視覺的車道線檢測系統實現的功能：
The function of the realization of the lane detection system based on machine vision:
車道線檢測與識別， 可以檢測道路上的汽車是否闖紅燈， 是否壓實線， 師傅隨意變道， 為我國的道路交通以及交通事故後續處理提供了可靠的依據。
Lane detection and recognition can detect whether the road is running red lights, compacting lines, and master randomly changing roads, which provides reliable basis for our subsequent road traffic and traffic accidents.
基於機器視覺的車道線檢測系統實現的效果：
The realization of lane detection system based on machine vision:
深圳市創盈時代科技有限公司是一家專注於機器視覺， 視覺檢測設備， CCD光學檢測設備， 機器視覺檢測， 視覺方案定制， 非標自動化設備的研發生產和銷售於一體的國家高新技術企業。
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本文關鍵字：機器視覺檢測， 視覺檢測系統