@inproceedings{bec4258864be42688171e70d020a315a,
title = "Photometric invariant edge detection based on improved color tensor",
abstract = "Color information is important for image edge detection for its ability of preventing information loss due to iso-luminance and allowing exploiting the photometric information, such as shade, shading and specular compared with luminance information. In this paper, we focused on photometric invariant edge detection and proposed a new color edge detection model which integrating our proposed new form of color tensor with photometric quasi-invariant model; we also proposed a new measure for edge response using tensor nature. Experiments show that our method is effective and more discriminative comparing to several traditional methods.",
keywords = "Edge detection, Improved color tensor, Photometric invariant",
author = "Chengwen Yu and Lei Guo and Qianjin Zhang",
year = "2007",
language = "英语",
isbn = "9781601320254",
series = "Proceedings of the 2007 International Conference on Artificial Intelligence, ICAI 2007",
publisher = "CSREA Press",
pages = "127--131",
booktitle = "Proceedings of the 2007 International Conference on Artificial Intelligence, ICAI 2007",
note = "2007 International Conference on Artificial Intelligence, ICAI 2007 ; Conference date: 25-06-2007 Through 28-06-2007",
}