Name
Abstract | ||
|---|---|---|
To develop new image processing applications for pulse coupled neural network (PCNN), this paper proposes an improved PCNN model by redesigning the linking input, activity strength, linking weight, pulse threshold and pixel update rule. Two typical image processing examples based on such a model, namely fingerprint orientation field estimation and noise removal, are presented for explaining how to use the PCNN and determine parameters in image processing. Experiments show that the improved model is quite useful, and the PCNN-based approaches achieve better image processing results than the traditional ones. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1007/s00521-007-0119-5 | Neural Computing and Applications |
Keywords | DocType | Volume |
improved pulse,pulse threshold,neural network,better image processing result,improved pcnnpulse threshold � linking neuron setimage processingfingerprint orientation field estimationnoise removal,PCNN-based approach,improved model,image processing,new image processing application,fingerprint orientation field estimation,improved PCNN model,typical image processing example,activity strength | Journal | 17 |
Issue | ISSN | Citations |
3 | 1433-3058 | 2 |
PageRank | References | Authors |
0.36 | 16 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Luping Ji | 1 | 149 | 10.31 |
| Zhang Yi | 2 | 1765 | 194.41 |
| Lifeng Shang | 3 | 485 | 30.96 |