Rotation‐invariant target recognition using an amplitude‐coupled minimum‐average correlation‐energy filter

1996 ◽  
Vol 35 (4) ◽  
pp. 1009 ◽  
Author(s):  
Khan M. Iftekharuddin
Keyword(s):  
Correlation Energy ◽  
Target Recognition ◽  
Average Correlation ◽  
Rotation Invariant

Target Recognition Technology Based on Minimum Average Correlation Energy Filters

2010 ◽  
Vol 47 (6) ◽  
pp. 061002
Author(s):  
贾欢欢 Jia Huanhuan ◽  
杨璐 Yang Lu ◽  
王文生 Wang Wensheng
Keyword(s):  
Correlation Energy ◽  
Target Recognition ◽  
Average Correlation

scholarly journals Rotation-invariant target recognition in LADAR range imagery using model matching approach

2010 ◽  
Vol 18 (15) ◽  
pp. 15349 ◽  
Author(s):  
Qi Wang ◽  
Li Wang ◽  
Jianfeng Sun
Keyword(s):  
Target Recognition ◽  
Model Matching ◽  
Rotation Invariant

Scale Distorted Target Recognition Based on Machine Vision

2014 ◽  
Vol 1006-1007 ◽  
pp. 760-763 ◽  
Author(s):  
Yu Chen ◽  
Fu Rong Huo ◽  
Li Qin Zheng
Keyword(s):  
Machine Vision ◽  
Background Noise ◽  
Target Recognition ◽  
Angular Distortion ◽  
Average Correlation ◽  
Optical Correlation ◽  
Hybrid Joint ◽  
Mach Filter ◽  
Human Eyes ◽  
Principle Of Maximum

<div> <p class="9"><span>Machine vision means to carry out measurement or judgment with machine instead of human eyes. In the field of target recognition, optical correlation technology is a main way to realize machine vision. Targets can be recognized and located with high precision</span><span> </span><span>taking advantage of optoelectronic hybrid joint </span><span>transform</span><span> correlator (OHJTC). However, when scale or angular distortion of the detected target exists relative to the reference template, the intensity of correlation peaks will decrease to a great extent, which restricted the recognition results greatly. In this paper, the development and principle of maximum average correlation height (MACH)</span><span> </span><span>algorithm is introduced. Through amounts of experiments, t</span><span>he control</span><span>ling</span><span> parameters</span><span> </span><span>of the synthesized filter</span><span> are optimized</span><span>, which makes MACH filter suppress background noise and widen recognition range of targets</span><span>. To show the feasibility of this algorithm, simulative and optical experiments of the improved MACH filter are carried out. As an example, the recognition results of a fighter target in sky</span><span> </span><span>are given, which shows </span><span>the </span><span>scale</span><span> </span><span>distortion tolerance can reach up </span><span>to </span><span>±</span><span>23%</span><span>. The actual effect of the improved MACH filter algorithm has been confirmed very well</span><span>.</span><span> <o:p></o:p></span></p> </div>

Application of Maximum Average Correlation Height Filter Algorithm in Distorted Target Recognition

2011 ◽  
Vol 40 (8) ◽  
pp. 1231-1237 ◽  
Author(s):  
SHANG Ji-yang ◽  
ZHAN Xue ◽  
WANG Wen-sheng
Keyword(s):  
Target Recognition ◽  
Average Correlation
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