2012 4 30 2 Journal of Northwestern Polytechnical University Apr. Vol. 30 2012 No. 2 ICM 710072 ICM ICM ICM ICM ICM TP391. 41 A 1000-2758 2012 02-0201-05 6 2001 Kinser Johnson ICM intersecting cortical model 7 ICM ICM Hu 1 Fourier 2 Trace 3 ICM Hu Hu Fourier Trace ICM Radon 1 ICM 4 ICM ICM M N 1990 M N M N ICM Eckhorn N 5 ij 1993 Johnson ckhorn 2011-05-12 20100153001 VLSI 61101191 2011JQ8016 1978
202 30 F ij n + 1 = ff ij n + S ij + M ijkl Y kl n 1 kl n + 1 2 T ij n + 1 = gt ij n + hy ij Y ij n + 1 = 1 F ij n + 1 T ij n { 3 0 otherwize G n = Y ij n 4 0 R c 1 i j S ij N ij Y ij 5 N ij F ij M ijkl f g h G n 2. 2 ICM n N ij ICM 1 ~ 4 ICM 7 ICM 8 M ijkl f g h M ijkl 1 2 3 9 ICM M ijkl f g h ICM a f g h f 1 g 1 h 1 b E = 1 2 R c - 1 2 R c c < ξ f 1 g 1 h 1 ICM ICM 2 ICM f R c ICM h = f g h + Δh - E f g h 7 Δh λ 1 = E f g h λ ICM 2 2 = E f g h λ i = 1 ) 2 3 = E f g h f i = 1 ) 2 g i = 1 h ) 8 2. 1 E 1 m+1 = E 1m - λ 1 E ICM f 2 m+1 = E 2m - λ 2 g E 3 m+1 = E 3m - λ 3 9 h 1 b c E = 1 2 R 10 c - 1 2 5 λ k + 1 = R c = G s j G g j [ G 2 s j ] 1 /2 [ G 2 g j ] 1 /2 f + Δf = g h - E f g h Δf g = f g + Δg h - E f g h Δg 6
2 ICM 203 { λ k otherwise 1. 05λ k E k + 1 < E k 0. 75λ k E k + 1 > 1. 04 E k 10 ICM 3 ICM ICM ICM f g h 2 1a 1b ICM 11 N F ω - F' ω 2 ω = 1 D = 11 N F ω 2 ω = 1 F ω F' ω N 1 2 2 1 11 10-6 10-4 1 ~ 2 2 1 11 1 1c 1d f = 0. 6 g = 0. 1 h = 40 1a 1b ICM 1e 1f f = 0. 4 g = 0. 1 h = 60 1a 1b ICM ICM ICM f 3 15 = 0. 9 g = 0. 8 h = 20 ICM 2
204 30 11 F-22 F-35 Saab35 2000-7 - 15 8-10 3 B2 F-15 F-16 F-18 Su-27 11 Mig-29 F-5 1 11 1 0. 9 0. 8 0. 7 0. 6 0. 5 0. 4 0 0 1. 05 10-4 4. 27 10-6 9. 26 10-5 2. 81 10-5 1. 12 10-4 1. 24 10-4 40 5. 45 10-5 1. 11 10-4 1. 13 10-5 1. 25 10-4 9. 78 10-6 1. 09 10-4 4. 99 10-5 80 4. 23 10-5 6. 30 10-5 3. 59 10-6 3. 42 10-5 3. 55 10-5 9. 24 10-5 2. 07 10-4 120 3. 92 10-5 1. 32 10-4 5. 17 10-5 1. 72 10-4 5. 23 10-5 9. 73 10-5 2. 34 10-4 160 4. 17 10-5 1. 14 10-4 2. 09 10-6 8. 64 10-5 7. 14 10-5 8. 10 10-5 2. 50 10-4 200 3. 37 10-5 1. 20 10-4 2. 16 10-6 9. 83 10-5 2. 65 10-5 1. 33 10-4 1. 44 10-4 240 3. 19 10-5 1. 16 10-4 3. 83 10-6 1. 09 10-4 2. 35 10-5 1. 07 10-4 1. 60 10-4 280 4. 05 10-5 9. 62 10-5 2. 13 10-6 6. 10 10-5 5. 45 10-6 5. 66 10-5 1. 50 10-4 320 1. 97 10-5 1. 52 10-4 4. 25 10-6 1. 66 10-4 3. 73 10-5 1. 64 10-4 1. 99 10-4 2 1 0. 9 0. 8 0. 7 0. 6 0. 5 0. 4 0 0 9. 34 10-6 2. 70 10-5 1. 23 10-5 1. 15 10-5 6. 32 10-5 3. 72 10-5 40 1. 60 10-5 6. 75 10-5 2. 92 10-5 5. 62 10-5 1. 90 10-5 3. 54 10-5 3. 48 10-6 80 4. 83 10-5 8. 05 10-5 1. 99 10-5 1. 39 10-5 2. 41 10-5 8. 82 10-5 9. 82 10-5 120 5. 96 10-6 9. 60 10-5 4. 46 10-5 6. 88 10-5 1. 69 10-5 7. 34 10-6 1. 98 10-5 160 8. 96 10-6 1. 52 10-5 1. 48 10-5 1. 85 10-5 1. 10 10-5 2. 79 10-5 1. 42 10-6 200 1. 62 10-5 1. 66 10-5 3. 10 10-5 2. 02 10-5 7. 54 10-5 3. 18 10-5 1. 03 10-5 240 3. 31 10-5 2. 53 10-5 2. 46 10-5 2. 34 10-5 4. 33 10-5 5. 65 10-5 1. 28 10-5 280 1. 16 10-5 8. 39 10-5 3. 51 10-5 1. 10 10-5 2. 59 10-5 6. 70 10-5 1. 89 10-5 320 1. 31 10-5 3. 85 10-5 3. 91 10-5 3. 59 10-5 1. 57 10-5 2. 06 10-5 1. 36 10-5 4 ICM ICM ICM ICM ICM 1.. 2001 Sun Jixiang. Feature Extraction in Pattern and Computer Vision Invariants. Beijing National Defence Industry Press 2001 in Chinese
2 ICM 205 2 Kauppien H Sepanen T. An Experiment Comparison of Autoregressive and Fourier Based Descriptors in 2D Shape Classification. IEEE Trans on Pattern Analysis and Machine Intelligence 1995 17 2 201-207 3 Kadyrov A Petrou M. The Trace Transform and Its Application. PAMI 2001 23 811-828 4.. 2007 Wang Fenguo. Wavelet Transform and Its Application in Affine Invariant Object Recognition. Master Degree Dissertation. Xi'an University of Electronic Science and Technology 2007 in Chinese 5 ckhorn R Reitboeck H J Arndt Metal. Feature Linking Via Synchronization among Distributed Assemblies Simulation of Results from Cat Cortex. Neural Comput 1990 2 3 293-307 6 Johnson J L Ritter D. Observation of Periodic Waves in a Pulse-Coupled Neural Network. Opt Lett 1993 18 15 1253-1255 7 Kinser J M. Image Signatures Classification and Ontology. Proc IASTED Int Conf on Computer Graphics and Imaging 2001 8 Yu Ruixing Zhu Bing Zhang Ke et al. An Image Matching Recognition Approach Based on ICM Icon / FSKD 2008 4 20-23 9 Ulf Ekblad Jason M Kinser. Theoretical Foundation of the Intersecting Cortical Model and Its Use for Change Detection of Aircraft Cars and Nuclear Explosion Tests. Signal Processing 2004 84 7 1131-1146 10.. 2003 26 2 227-232 Xu Xin He Hangen. A Gradient Algorithm for Neural-Network-Based Reinforcement Learning. Chinese Journal of Computers 2003 26 2 227-232 in Chinese 11.. 2008 33 1 29-31 Luo Min Zhu Xiaomin Li Xiaohong. Wavelet-Radial Descriptor Based Algorithm for Image Feature Extraction. Geomatics and Information Science of Wuhan University 2008 33 1 29-31 in Chinese A New and Effective Method for Setting Parameters of ICM Intersecting Cortical Model Yu Ruixing Meng Lixun College of Astronautics Northwestern Polytechnical University Xi'an 710072 China Abstract In identifiying targets the parameters of the ICM model need to be set manually. So we propose what we believe to be a new and effective method for setting the parameters which is explained in sections 1 and 2 of the full paper. Section 1 briefs the ICM. Subsections 2. 1 deals with the error function which is based on correlation coefficients and the ICM parameteer setting procedures based on gradient descent subsection 2. 2 gives a 3-step calculation procedure for adaptively setting the ICM parameters in accordance with different input images. Section 3 uses three numerical examples to verify the effectiveness of our method the simulation results given in Figs. 1 through 3 and Tables 1 and 2 and their analysis show preliminarily that our new method has slightly higher target recognition rate than the method mentioned in Ref. 11 and can indeed effectively set the ICM parameters and enhance the reliability and efficiency of the ICM. Key words algorithms analysis calculations correlation methods effects efficiency feature extraction functions image processing models numerical methods optimization parameter estimation reliability simulation standards targets error function gradient descent intersecting cortical model ICM target recognition icon