【摘要】：隨著科技的快速發(fā)展,在一些生產(chǎn)領(lǐng)域和科研場所中存在高風(fēng)險(xiǎn)、高強(qiáng)度、高難度的工作環(huán)境,隨之出現(xiàn)了替代人類在這些環(huán)境中工作的機(jī)器人,而樓梯狀道路可能是機(jī)器人完成工作中通過的路徑,這就使得機(jī)器人在該路徑下要具有一定的檢測識別能力�；谝陨媳尘�,本文通過單目視覺傳感器獲取樓梯圖像信息,將樓梯邊緣線作為機(jī)器人可行駛的邊界,輔以相關(guān)的處理算法,進(jìn)一步實(shí)現(xiàn)樓梯邊緣檢測與距離信息定位,為機(jī)器人的下一步路徑規(guī)劃提供一定條件。首先,針對樓梯圖像在不同情況下紋理特征不同的特點(diǎn),對比研究了兩種特征分析方法:灰度差分統(tǒng)計(jì)法和灰度共生矩陣法,分別對上升和下降樓梯圖像中的特征進(jìn)行分析,通過兩種方法對比,進(jìn)而達(dá)到了區(qū)分上升下降樓梯圖像的目的。其次,針對傳統(tǒng)圖像邊緣檢測方法中出現(xiàn)噪聲、邊緣定位不精確等缺點(diǎn),本文結(jié)合小波變換和形態(tài)學(xué)的優(yōu)點(diǎn),提出了一種基于多方向小波變換和形態(tài)學(xué)融合的邊緣檢測算法,并對于不同環(huán)境下樓梯圖像進(jìn)行了實(shí)驗(yàn),對比分析了該算法在不同環(huán)境下的適應(yīng)性。然后,在樓梯圖像邊緣檢測的基礎(chǔ)上,利用投影變換建立攝像機(jī)與目標(biāo)點(diǎn)的幾何模型,在距離信息定位時(shí),本文按照目標(biāo)點(diǎn)在攝像機(jī)視野范圍內(nèi)的位置不同,將距離信息定位算法分成三種情況,按照目標(biāo)點(diǎn)在成像平面坐標(biāo)系中所在位置選擇其對應(yīng)計(jì)算公式,進(jìn)一步實(shí)現(xiàn)樓梯邊緣距離信息定位。對于計(jì)算中需要的攝像機(jī)內(nèi)參數(shù),使用了攝像機(jī)標(biāo)定法中的張氏標(biāo)定法進(jìn)行標(biāo)定。通過實(shí)驗(yàn)結(jié)果表明,本文提出的檢測算法能夠有效的實(shí)現(xiàn)樓梯圖像的檢測,提出的距離定位算法簡單高效,測量誤差小,為機(jī)器人下一步的運(yùn)行提供有利的條件。
[Abstract]:With the rapid development of science and technology, there are high-risk, high-intensity, high-difficulty working environment in some fields of production and scientific research, along with the emergence of robots that replace human beings working in these environments. The staircase road may be the path through which the robot completes its work, which makes the robot have certain detection and recognition ability under this path. Based on the above background, this paper obtains the stair image information by monocular vision sensor, takes the stair edge line as the driving boundary of the robot, and uses the related processing algorithm to further realize the stair edge detection and the location of distance information. It provides some conditions for the next step path planning of the robot. Firstly, according to the different texture features of stair images under different conditions, two feature analysis methods, gray difference statistical method and gray level co-occurrence matrix method, are compared and studied to analyze the features of ascending and descending stair images, respectively. Through the comparison of the two methods, the purpose of distinguishing the ascending and descending staircase images is achieved. Secondly, aiming at the disadvantages of traditional image edge detection methods, such as noise and imprecise edge location, a new edge detection algorithm based on multi-direction wavelet transform and morphology fusion is proposed in this paper, which combines the advantages of wavelet transform and morphology. The experiment of stair image in different environment is carried out, and the adaptability of the algorithm in different environment is compared and analyzed. Then, on the basis of edge detection of stair image, the geometric model of camera and target point is established by using projection transformation. When the distance information is located, the position of target point in the field of view of camera is different according to the position of target point in the field of view of camera. The distance information location algorithm is divided into three cases. According to the location of the target point in the imaging plane coordinate system, the corresponding calculation formula is selected to further realize the stair edge distance information location. The camera calibration method is used to calibrate the internal parameters of the camera. The experimental results show that the detection algorithm proposed in this paper can effectively realize the detection of stair images, and the proposed range location algorithm is simple and efficient, and the measurement error is small, which provides favorable conditions for the next step of operation of the robot.
【學(xué)位授予單位】：西安科技大學(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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