Balloon Energy Based on Contourlet in Parametric Active Contour for Segmentation of Texture Object in Texture Background
Subject Areas : electrical and computer engineering
P.
Moallem
1
H.
Tahvilian
2
A.
Monadjemi
3
Keywords: Parametric active contour model energy function texture feature contourlet,
Abstract :
Object boundaries detection is one of the interesting subjects in computer and image processing. Active contour models are one of the popular methods in object detection and segmentation. This paper presents a new method for segmentation of texture object by means of parametric active contour. In this proposed method, by adding a balloon energy to energy function of the parametric active contour model, the detection and segmentation of textured object against textured background would be achieved. In this method, texture feature of contour and object points are calculated by contourlet transform. Then by comparing these features with texture feature of target object, which are available as prior information, movement direction of balloon is defined, whereupon contour curves are expanded or contracted in order to adapt to the target boundaries. Experimental results demonstrate that the active contour based on contourlet (Contourlet-ACM) has higher segmentation accuracy than the active contour based on moment (Moment-ACM) and active contour based on DWHT (DWHT-ACM).
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