TY - GEN
T1 - A modified Fourier descriptor for shape-based image recognition
AU - Huo, Lichao
AU - Lei, Xiaoyong
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2015.
PY - 2015
Y1 - 2015
N2 - Shape-based image recognition is a key technology in computer vision, and Fourier descriptor (FD) is one important way to describe such images. FD uses the Fourier Transform of the contour coordinate as eigenvector to describe the image contour property. However, it can only show the contour property, but may fail to distinguish images with the same contour but different content. And the length of FD varies with the size of the image. In this paper, a modified Fourier descriptor (MFD) is proposed, which is invariant with translation, rotation, and scaling of the image. It takes both the contour property and the content into consideration. A 2D shape-based image can be represented by a one-dimensional discrete array with constant length, which makes it convenient to recognize different images. To prove the efficiency of the proposed algorithm, we have applied it to shape recognition experiments and got reasonable results.
AB - Shape-based image recognition is a key technology in computer vision, and Fourier descriptor (FD) is one important way to describe such images. FD uses the Fourier Transform of the contour coordinate as eigenvector to describe the image contour property. However, it can only show the contour property, but may fail to distinguish images with the same contour but different content. And the length of FD varies with the size of the image. In this paper, a modified Fourier descriptor (MFD) is proposed, which is invariant with translation, rotation, and scaling of the image. It takes both the contour property and the content into consideration. A 2D shape-based image can be represented by a one-dimensional discrete array with constant length, which makes it convenient to recognize different images. To prove the efficiency of the proposed algorithm, we have applied it to shape recognition experiments and got reasonable results.
KW - Contours and content
KW - Cyclic shifting array
KW - Fourier descriptor
KW - Image recognition
KW - Shape-based image
UR - https://www.scopus.com/pages/publications/84943592568
U2 - 10.1007/978-3-319-21978-3_15
DO - 10.1007/978-3-319-21978-3_15
M3 - 会议稿件
AN - SCOPUS:84943592568
SN - 9783319219776
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 165
EP - 175
BT - Image and Graphics - 8th International Conference, ICIG 2015, Proceedings
A2 - Zhang, Yu-Jin
PB - Springer Verlag
T2 - 8th International Conference on Image and Graphics, ICIG 2015
Y2 - 13 August 2015 through 16 August 2015
ER -