带约束不条件的特征与最小二乘影像匹配

陈鹰; 李铁军; 熊兴华

doi:10.11834/jig.19980489

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专辑

带约束不条件的特征与最小二乘影像匹配
An Image Encoding Predictor Based on Neural Network
1998年3卷第4期页码：299
纸质出版：1998
DOI： 10.11834/jig.19980489
稿件说明：

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陈鹰, 李铁军, 熊兴华. 带约束不条件的特征与最小二乘影像匹配[J]. 中国图象图形学报, 1998,3(4):299. DOI： 10.11834/jig.19980489.

An Image Encoding Predictor Based on Neural Network[J]. Journal of Image and Graphics, 1998, 3(4): 299. DOI： 10.11834/jig.19980489.

摘要

讨论了一种新的边缘检测方法和用链码描述的线矩数学模型，给出基于不变线矩匹配的约束条件，并采用基于特征与最小二乘结合实现了精确的子像素匹配。

Abstract

A new edge detection method and mathematical model of line moment described by chain code are discussed in this paper. The constraints of line moment invariant-based matchimg are presented

and exact sub-pixel matching is realized by feature-based and least square method.