Title :
A DCT based gradient vector flow snake for object boundary detection
Author :
Tang, Jinshan ; Acton, Scott T.
Author_Institution :
Dept. of Electr. & Comput. Eng., Virginia Univ., Charlottesville, VA, USA
Abstract :
The paper proposes a new gradient vector flow (GVF) snake based on the discrete cosine transform (DCT) for object boundary detection. In order to develop the DCT GVF snake, for each pixel in the spatial domain, we compute the two dimensional DCT in its local neighborhood. A contrast measure derived from the local DCT coefficients is used to compute the gradient vector flow field, which is employed as the external force to drive the snake to the object edges. The advantage of the DCT GVF snake lies in its robustness to multiplicative noise. The DCT GVF snake is applied to object boundary detection in images with multiplicative noise. Experiments show the boundary detection result obtained by the DCT GVF snake is more accurate than that obtained by the original GVF snake.
Keywords :
discrete cosine transforms; edge detection; gradient methods; image segmentation; random noise; DCT gradient vector flow snake; active contour model; contrast measure; discrete cosine transform; image edges; image segmentation; multiplicative noise; object boundary detection; spatial domain; Active contours; Additive noise; Discrete cosine transforms; Filters; Fluid flow measurement; Force measurement; Image segmentation; Noise reduction; Noise robustness; Object detection;
Conference_Titel :
Image Analysis and Interpretation, 2004. 6th IEEE Southwest Symposium on
Print_ISBN :
0-7803-8387-7
DOI :
10.1109/IAI.2004.1300965
