计算机系统应用
計算機繫統應用
계산궤계통응용
APPLICATIONS OF THE COMPUTER SYSTEMS
2014年
11期
256-263
,共8页
霍夫变换%神经网络%边缘检测算子%虹膜检测%人眼检测
霍伕變換%神經網絡%邊緣檢測算子%虹膜檢測%人眼檢測
곽부변환%신경망락%변연검측산자%홍막검측%인안검측
Hough transform%neural network%edge detection operator%iris detection%eye detection
针对光照、眼镜等对驾驶员人眼检测的影响,提出采用霍夫变换和神经网络分类器进行人眼检测.通过应用虹膜几何信息和对称性,选择可能包含人眼的两个候选区域.运用边缘检测算子和 MAE 进行人眼粗定位.然后在此基础上采用B-P神经网络进行人眼精确定位.针对三种不同情况,即不同光照、不同背景和不同肤色的人拍摄6组视频图像,采用matlab7.0进行3组仿真实验,实验结果表明该算法对复杂情况的人眼检测具有较强的鲁棒性.大大提高人眼检测准确率.
針對光照、眼鏡等對駕駛員人眼檢測的影響,提齣採用霍伕變換和神經網絡分類器進行人眼檢測.通過應用虹膜幾何信息和對稱性,選擇可能包含人眼的兩箇候選區域.運用邊緣檢測算子和 MAE 進行人眼粗定位.然後在此基礎上採用B-P神經網絡進行人眼精確定位.針對三種不同情況,即不同光照、不同揹景和不同膚色的人拍攝6組視頻圖像,採用matlab7.0進行3組倣真實驗,實驗結果錶明該算法對複雜情況的人眼檢測具有較彊的魯棒性.大大提高人眼檢測準確率.
침대광조、안경등대가사원인안검측적영향,제출채용곽부변환화신경망락분류기진행인안검측.통과응용홍막궤하신식화대칭성,선택가능포함인안적량개후선구역.운용변연검측산자화 MAE 진행인안조정위.연후재차기출상채용B-P신경망락진행인안정학정위.침대삼충불동정황,즉불동광조、불동배경화불동부색적인박섭6조시빈도상,채용matlab7.0진행3조방진실험,실험결과표명해산법대복잡정황적인안검측구유교강적로봉성.대대제고인안검측준학솔.
This paper focuses on the effects of light condition, glass-wearing on driver’s eye, and proposes a way of human eye detection by Hough transform and neural network classifier. Firstly, two eye candidate regions were selected based on the geometry and symmetry of the iris. Then, coarse human eye positioning is conducted by edge detection and MAE operator. At last, the B-P neural network was utilized to pinpoint the human eye. For six groups of video images captured in three different situations, that is, different light, different backgrounds and different skin color, three groups were performed simulation experiment using matlab7.0. Results show that the algorithm for complex situations human eye detection has a strong robustness, improve the accuracy of eye detection greatly.