Detail publikace

An Ensemble Template Algorithm for Extracting Targets from Blurred Infrared Images

FU, D. YU, X. TONG, H. ŘÍHA, K.

Originální název

An Ensemble Template Algorithm for Extracting Targets from Blurred Infrared Images

Anglický název

An Ensemble Template Algorithm for Extracting Targets from Blurred Infrared Images

Jazyk

en

Originální abstrakt

In this paper, an ensemble template algorithm is proposed to extract targets from blurred infrared images. First, the image pixels are divided according to their grey values into three pixel sets, a target set, a background set and the third set without class label. Second, the neighbourhood statistical characteristics for each pixel are calculated as its template features. Third, ensemble detectors are designed using target pixels and background pixels based on their template features, and these ensemble detectors are used to detect the third pixel set. To evaluate the performance of the proposed extraction algorithm, this paper compares the ensemble template with other extraction algorithms using blurred infrared image of hand trace. Experimental results show that the ensemble template algorithm proposed in this paper exhibits better extraction performance.

Anglický abstrakt

In this paper, an ensemble template algorithm is proposed to extract targets from blurred infrared images. First, the image pixels are divided according to their grey values into three pixel sets, a target set, a background set and the third set without class label. Second, the neighbourhood statistical characteristics for each pixel are calculated as its template features. Third, ensemble detectors are designed using target pixels and background pixels based on their template features, and these ensemble detectors are used to detect the third pixel set. To evaluate the performance of the proposed extraction algorithm, this paper compares the ensemble template with other extraction algorithms using blurred infrared image of hand trace. Experimental results show that the ensemble template algorithm proposed in this paper exhibits better extraction performance.

Dokumenty

BibTex


@article{BUT104404,
  author="Dongmei {Fu} and Xiao {Yu} and Hejun {Tong} and Kamil {Říha}",
  title="An Ensemble Template Algorithm for Extracting Targets from Blurred Infrared Images",
  annote="In this paper, an ensemble template algorithm is proposed to extract targets from blurred infrared images. First, the image pixels are divided according to their grey values into three pixel sets, a target set, a background set and the third set without class label. Second, the neighbourhood statistical characteristics for each pixel are calculated as its template features. Third, ensemble detectors are designed using target pixels and background pixels based on their template features, and these ensemble detectors are used to detect the third pixel set. To evaluate the performance of the proposed extraction algorithm, this paper compares the ensemble template with other extraction algorithms using blurred infrared image of hand trace. Experimental results show that the ensemble template algorithm proposed in this paper exhibits better extraction performance.",
  address="Elsevier GmbH",
  chapter="104404",
  doi="10.1016/j.ijleo.2013.07.130",
  institution="Elsevier GmbH",
  number="3",
  volume="125",
  year="2014",
  month="february",
  pages="954--957",
  publisher="Elsevier GmbH",
  type="journal article in Web of Science"
}