通过像素级约束直方图的统计积分进行符号识别：一种新的描述符。
Symbol recognition via statistical integration of pixel-level constraint histograms: a new descriptor.
作者信息
Yang Su
机构信息
Department of Computer Science and Engineering, Fudan University, Shanghai 200433, PR China.
出版信息
IEEE Trans Pattern Anal Mach Intell. 2005 Feb;27(2):278-81. doi: 10.1109/TPAMI.2005.38.
PMID:15688565
Abstract
A new descriptor for symbol recognition is proposed. 1) A histogram is constructed for every pixel to figure out the distribution of the constraints among the other pixels. 2) All the histograms are statistically integrated to form a feature vector with fixed dimension. The robustness and invariance were experimentally confirmed.
摘要
提出了一种用于符号识别的新描述符。1）为每个像素构建一个直方图，以确定其他像素之间约束的分布。2）对所有直方图进行统计整合，形成一个固定维度的特征向量。通过实验证实了其鲁棒性和不变性。
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