本文選題：定位算法 + 瞳孔中心　； 參考：《中國生物醫(yī)學工程學報》2017年04期

【摘要】：眼動追蹤系統(tǒng)在臨床醫(yī)學中有著重要應用,為提高系統(tǒng)中眼圖特征值的識別率,創(chuàng)新性地提出一種雙層過濾的瞳孔中心和角膜反射光斑中心的定位算法。瞳孔中心定位算法首先對獲取的眼睛圖像二值化處理,然后以100~300為閾值設定輪廓點數(shù),進行第一次瞳孔過濾,最后用最小二乘法橢圓擬合瞳孔輪廓,并將最接近圓的輪廓作為瞳孔輪廓,繼而得到瞳孔中心。在此基礎上,進一步對瞳孔中心一定范圍內(nèi)的眼圖進行邊緣檢測,求其輪廓,并找出輪廓的外接矩形中心,然后以瞳孔中心為基點進行坐標轉換,最終求出角膜反射光斑中心。算法在一定程度上縮小圖像處理的區(qū)域,提高實時性和反射光斑的識別率。實驗結果表明,所設計的算法能夠實時地對不同情況下的瞳孔和角膜反射光斑中心進行準確定位,瞳孔-角膜反射向量坐標最大均方差低于0.74像素,平均誤差低于0.53像素。算法運行速度達到12.8 ms/幀。算法滿足精確性的同時具有很強的魯棒性,為后續(xù)眼動設備的開發(fā)提供重要的參考價值。
[Abstract]:Eye movement tracking system plays an important role in clinical medicine. In order to improve the recognition rate of eye image eigenvalues, a double-layer filtering algorithm for locating the center of pupil and corneal reflection spot is proposed. The pupillary center location algorithm first binarizes the acquired eye image, then sets the contour points with a threshold of 100 ~ 300, carries on the first pupil filtering, and finally uses the least square ellipse to fit the pupil contour. The closest contour to the circle is used as the pupil contour, and then the pupil center is obtained. On this basis, the edge of the eye image in a certain range of pupil center is further detected, the contour is obtained, and the external rectangular center of the contour is found, then the center of the corneal reflective spot is obtained by coordinate transformation based on the center of the pupil. The algorithm reduces the area of image processing to a certain extent and improves the real time and the recognition rate of reflected spot. Experimental results show that the proposed algorithm can accurately locate the center of pupil and corneal reflection spot in real time. The maximum mean square deviation of pupillary and corneal reflection vector coordinates is less than 0.74 pixels and the average error is less than 0.53 pixels. The speed of the algorithm is 12.8 ms/ frame. The algorithm not only satisfies the accuracy but also has strong robustness, which provides an important reference value for the subsequent development of eye movement equipment.
【作者單位】： 重慶大學生物醫(yī)學工程學院;重慶市醫(yī)療電子工程技術研究中心;中國生物醫(yī)學工程學會;
【基金】：國家科技支撐計劃項目(2013BAI03B04&2015BAI01B14)
【分類號】：R770.4;TP391.41

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本文編號：2021042