IEICE TRANSACTIONS on Information
Salient Edge Detection in Natural Images
Summary :
Salient edge detection which is mentioned less frequently than salient point detection is another important cue for subsequent processing in computer vision. How to find the salient edges in natural images is not an easy work. This paper proposes a simple method for salient edge detection which preserves the edges with more salient points on the boundaries and cancels the less salient ones or noise edges in natural images. According to the Gestalt Principles of past experience and entirety, we should not detect the whole edges in natural images. Only salient ones can be an advantageous tool for the following step just like object tracking, image segmentation or contour detection. Salient edges can also enhance the efficiency of computing and save the space of storage. The experiments show the promising results.
- Publication
- IEICE TRANSACTIONS on Information Vol.E92-D No.5 pp.1209-1212
- Publication Date
- 2009/05/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.E92.D.1209
- Type of Manuscript
- LETTER
- Category
- Image Recognition, Computer Vision
Authors
Keyword
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Yihang BO, Siwei LUO, Qi ZOU, "Salient Edge Detection in Natural Images" in IEICE TRANSACTIONS on Information,
vol. E92-D, no. 5, pp. 1209-1212, May 2009, doi: 10.1587/transinf.E92.D.1209.
Abstract: Salient edge detection which is mentioned less frequently than salient point detection is another important cue for subsequent processing in computer vision. How to find the salient edges in natural images is not an easy work. This paper proposes a simple method for salient edge detection which preserves the edges with more salient points on the boundaries and cancels the less salient ones or noise edges in natural images. According to the Gestalt Principles of past experience and entirety, we should not detect the whole edges in natural images. Only salient ones can be an advantageous tool for the following step just like object tracking, image segmentation or contour detection. Salient edges can also enhance the efficiency of computing and save the space of storage. The experiments show the promising results.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E92.D.1209/_p
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@ARTICLE{e92-d_5_1209,
author={Yihang BO, Siwei LUO, Qi ZOU, },
journal={IEICE TRANSACTIONS on Information},
title={Salient Edge Detection in Natural Images},
year={2009},
volume={E92-D},
number={5},
pages={1209-1212},
abstract={Salient edge detection which is mentioned less frequently than salient point detection is another important cue for subsequent processing in computer vision. How to find the salient edges in natural images is not an easy work. This paper proposes a simple method for salient edge detection which preserves the edges with more salient points on the boundaries and cancels the less salient ones or noise edges in natural images. According to the Gestalt Principles of past experience and entirety, we should not detect the whole edges in natural images. Only salient ones can be an advantageous tool for the following step just like object tracking, image segmentation or contour detection. Salient edges can also enhance the efficiency of computing and save the space of storage. The experiments show the promising results.},
keywords={},
doi={10.1587/transinf.E92.D.1209},
ISSN={1745-1361},
month={May},}
Copy
TY - JOUR
TI - Salient Edge Detection in Natural Images
T2 - IEICE TRANSACTIONS on Information
SP - 1209
EP - 1212
AU - Yihang BO
AU - Siwei LUO
AU - Qi ZOU
PY - 2009
DO - 10.1587/transinf.E92.D.1209
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E92-D
IS - 5
JA - IEICE TRANSACTIONS on Information
Y1 - May 2009
AB - Salient edge detection which is mentioned less frequently than salient point detection is another important cue for subsequent processing in computer vision. How to find the salient edges in natural images is not an easy work. This paper proposes a simple method for salient edge detection which preserves the edges with more salient points on the boundaries and cancels the less salient ones or noise edges in natural images. According to the Gestalt Principles of past experience and entirety, we should not detect the whole edges in natural images. Only salient ones can be an advantageous tool for the following step just like object tracking, image segmentation or contour detection. Salient edges can also enhance the efficiency of computing and save the space of storage. The experiments show the promising results.
ER -
English
