Notice of Violation of IEEE Publication Principles: A Color Image Segmentation Method Based on Automatic Seeded Region Growing

Notice of Violation of IEEE Publication Principles

"A Color Image Segmentation Method Based on Automatic Seeded Region Growing,"
by Weiwei Li, Huixian Huang, Dongbo Zhang, Hongzhong Tang and Chenhao Wang,
in the Proceedings of the 2007 IEEE International Conference on Automation and Logistics, pp. 1925-1927

After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE's Publication Principles.

This paper contains portions of original text from the paper cited below. The original text was copied without attribution.

"Automatic Seeded Region Growing for Color Image Segmentation,"
by Frank Y. Shih and Shouxian Cheng,
in Image and Vision Computing, 23 (2005), pp. 877-886, Elsevier
We present a segmentation method based on SRG for color image. Seeds is automatically selected depending on calculating the pixel intensity difference of pixel in the Luv color space and relative Euclidean distances. Initial regions are developed by applying SRG to selected seeds and classified based on the region distance defined by the color spatial and adjacent information. The presented method can select the seeds automatically, which is unavailable in traditional ones. Moreover, it can avoid over-segmentation. The experimental results show that the proposed method is available to various color image segmentation.