现代电子技术
現代電子技術
현대전자기술
Modern Electronics Technique
2015年
22期
84-87,90
,共5页
罗滨%朱长仁%任云%赵和鹏
囉濱%硃長仁%任雲%趙和鵬
라빈%주장인%임운%조화붕
梯度方向直方图(HOG)%方向标准化%图像匹配%相似性度量
梯度方嚮直方圖(HOG)%方嚮標準化%圖像匹配%相似性度量
제도방향직방도(HOG)%방향표준화%도상필배%상사성도량
HOG%orientation normalization%image matching%similarity measurement
特征提取是目标检测与识别领域的研究热点之一,HOG(Histogram of Oriented Gradient)特征由于其对图像局部信息良好的几何和光照不变性,在行人检测、车牌和人脸识别等计算机视觉邻域得到了广泛应用,但是HOG不具有旋转不变的特性,使得该特征在实际应用中存在着一些局限性.针对该问题,提出一种具有旋转不变性的HOG特征提取方法,首先根据图像梯度信息提取主方向并设置为参考方向,接着旋转主方向至参考方向,在旋转后的图像上得到旋转不变的HOG特征.并且设计了一种面向图像匹配的相似性度量准则,它以单个图像块(Block)特征向量为基元,与待匹配图像中对应块及其邻域块特征向量的相似度共同作为度量标准,增强了旋转图像在像素平移情况下的匹配效果.实验结果表明,提出的改进HOG特征具有良好的旋转不变特性.
特徵提取是目標檢測與識彆領域的研究熱點之一,HOG(Histogram of Oriented Gradient)特徵由于其對圖像跼部信息良好的幾何和光照不變性,在行人檢測、車牌和人臉識彆等計算機視覺鄰域得到瞭廣汎應用,但是HOG不具有鏇轉不變的特性,使得該特徵在實際應用中存在著一些跼限性.針對該問題,提齣一種具有鏇轉不變性的HOG特徵提取方法,首先根據圖像梯度信息提取主方嚮併設置為參攷方嚮,接著鏇轉主方嚮至參攷方嚮,在鏇轉後的圖像上得到鏇轉不變的HOG特徵.併且設計瞭一種麵嚮圖像匹配的相似性度量準則,它以單箇圖像塊(Block)特徵嚮量為基元,與待匹配圖像中對應塊及其鄰域塊特徵嚮量的相似度共同作為度量標準,增彊瞭鏇轉圖像在像素平移情況下的匹配效果.實驗結果錶明,提齣的改進HOG特徵具有良好的鏇轉不變特性.
특정제취시목표검측여식별영역적연구열점지일,HOG(Histogram of Oriented Gradient)특정유우기대도상국부신식량호적궤하화광조불변성,재행인검측、차패화인검식별등계산궤시각린역득도료엄범응용,단시HOG불구유선전불변적특성,사득해특정재실제응용중존재착일사국한성.침대해문제,제출일충구유선전불변성적HOG특정제취방법,수선근거도상제도신식제취주방향병설치위삼고방향,접착선전주방향지삼고방향,재선전후적도상상득도선전불변적HOG특정.병차설계료일충면향도상필배적상사성도량준칙,타이단개도상괴(Block)특정향량위기원,여대필배도상중대응괴급기린역괴특정향량적상사도공동작위도량표준,증강료선전도상재상소평이정황하적필배효과.실험결과표명,제출적개진HOG특정구유량호적선전불변특성.
abstract:the feature extraction is one of the research hotspots in the field of target detection and recognition. HOG(histo-gram of oriented gradient) feature has been widely used in the field of computer vision,such as pedestrian detection,license plate recognition and face identification due to its geometrical and illumination invariability for local image. However,HOG fea-ture has limitation in practical application because it has no rotation-invariant characteristic. Therefore,an extraction method of rotation-invariant HOG feature is proposed in this paper. Firstly,the main orientation is extracted according to the image gra-dient information and is set as reference direction,then the rotation-invariant HOG features are obtained from the rotated image by turning the main direction to the reference direction. A similarity measurement criterion for image-oriented matching is de-signed in this paper,in which the single image block feature vector is took as element,and is used to be the measurement stan-dard with the similarity of the block corresponding to the image under matching and its adjacent block feature factors. The experi-mental results show that the improved HOG feature has good rotational invariance.