摘要
为快速检测目标,本文提出了一种基于颜色特征的方法。该方法使用人工神经网络进行颜色分类,在多分辨率下依据定位标识器最显著的特征进行初次搜索,得到一系列初始目标,然后在原图中对它们进行特征提取,再使用人工神经网络进行真伪目标判别。实验证明,该方法可以准确、实时地检测目标。
Object detection systems are widely used in many fields. To speed up object detection, a rapid method based on color feature is presented in this paper. Artificial neural network is used for color classification. A series of original objects are gained through searching the most outstanding feature of the marker based on multi-resolution. A set of features obtained from these original objects in the original image, and artificial neural network are used for object classification. Experimental results prove the effectiveness of this method.
出处
《医疗卫生装备》
CAS
2004年第5期6-8,共3页
Chinese Medical Equipment Journal
关键词
目标检测
颜色特征
神经网络
多分辨率
模式识别
object detection
color feature
neural network
multi-resolution
pattern recognition
