### Abstract

In this paper, we proposed a novel algorithm for endoscopic image matching. The algorithm consists of two main components, log-ratio descriptor and probabilistic matching criterion. Log-ratio descriptor is developed by using selected pair of grayscale intensity information that surround the keypoint. The spatial distribution of the pairs follow approximately normal distribution. Then, probabilistic t-test is implemented to produce a distinctive features descriptor. Acceptable probability is calculated based on the probability of t-distribution information. Finally, matching the keypoints is performed by comparing the acceptable probability and nearest neighbor location information. Simulation results show that the proposed algorithm achieves more than 90% matching in various types of tissue surface and movement.

Original language | English |
---|---|

Title of host publication | IEEE Workshop on Statistical Signal Processing Proceedings |

Publisher | IEEE Computer Society |

Pages | 185-188 |

Number of pages | 4 |

ISBN (Print) | 9781479949755 |

DOIs | |

Publication status | Published - 2014 |

Event | 2014 IEEE Workshop on Statistical Signal Processing, SSP 2014 - Gold Coast, QLD Duration: 29 Jun 2014 → 2 Jul 2014 |

### Other

Other | 2014 IEEE Workshop on Statistical Signal Processing, SSP 2014 |
---|---|

City | Gold Coast, QLD |

Period | 29/6/14 → 2/7/14 |

### Fingerprint

### Keywords

- endoscopic image
- log ratio descriptor
- matching keypoint

### ASJC Scopus subject areas

- Electrical and Electronic Engineering
- Applied Mathematics
- Signal Processing
- Computer Science Applications

### Cite this

*IEEE Workshop on Statistical Signal Processing Proceedings*(pp. 185-188). [6884606] IEEE Computer Society. https://doi.org/10.1109/SSP.2014.6884606

**A log-ratio pair approach to endoscopic image matching.** / Karim, Rohana Abdul; Mustafa, Mohd. Marzuki; Zulkifley, Mohd Asyraf.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

*IEEE Workshop on Statistical Signal Processing Proceedings.*, 6884606, IEEE Computer Society, pp. 185-188, 2014 IEEE Workshop on Statistical Signal Processing, SSP 2014, Gold Coast, QLD, 29/6/14. https://doi.org/10.1109/SSP.2014.6884606

}

TY - GEN

T1 - A log-ratio pair approach to endoscopic image matching

AU - Karim, Rohana Abdul

AU - Mustafa, Mohd. Marzuki

AU - Zulkifley, Mohd Asyraf

PY - 2014

Y1 - 2014

N2 - In this paper, we proposed a novel algorithm for endoscopic image matching. The algorithm consists of two main components, log-ratio descriptor and probabilistic matching criterion. Log-ratio descriptor is developed by using selected pair of grayscale intensity information that surround the keypoint. The spatial distribution of the pairs follow approximately normal distribution. Then, probabilistic t-test is implemented to produce a distinctive features descriptor. Acceptable probability is calculated based on the probability of t-distribution information. Finally, matching the keypoints is performed by comparing the acceptable probability and nearest neighbor location information. Simulation results show that the proposed algorithm achieves more than 90% matching in various types of tissue surface and movement.

AB - In this paper, we proposed a novel algorithm for endoscopic image matching. The algorithm consists of two main components, log-ratio descriptor and probabilistic matching criterion. Log-ratio descriptor is developed by using selected pair of grayscale intensity information that surround the keypoint. The spatial distribution of the pairs follow approximately normal distribution. Then, probabilistic t-test is implemented to produce a distinctive features descriptor. Acceptable probability is calculated based on the probability of t-distribution information. Finally, matching the keypoints is performed by comparing the acceptable probability and nearest neighbor location information. Simulation results show that the proposed algorithm achieves more than 90% matching in various types of tissue surface and movement.

KW - endoscopic image

KW - log ratio descriptor

KW - matching keypoint

UR - http://www.scopus.com/inward/record.url?scp=84907388440&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84907388440&partnerID=8YFLogxK

U2 - 10.1109/SSP.2014.6884606

DO - 10.1109/SSP.2014.6884606

M3 - Conference contribution

AN - SCOPUS:84907388440

SN - 9781479949755

SP - 185

EP - 188

BT - IEEE Workshop on Statistical Signal Processing Proceedings

PB - IEEE Computer Society

ER -