Interactive Color Image Segmentation Editor Driven by Active Contour Model

A new general-purpose color image segmentation editor (CISE) for the purpose of extracting a semantic object is designed, implemented and tested on a number of various natural scene images. Our editor integrates a deformable model and image statistics including intensity, color, gradient and texture. The editor starts with a coarse region segmentation which applies the Canny's operator followed by a lowcomplexity edge linking algorithm. This segmentation basically builds regions of smooth intensity by closing all dangling edges. Next, a topologically-based region labeling method makes full use of relationship among pixels and produces useful labeled image. Finally, to refine the extracted object of interest (021), a deformable model based on energy minimization is applied by incorporating both the gradient and region . criteria to the external constraint force. These processes are demonstrated through examples on natural scene color images. Experimental results suggest the eficie...

• Type: Conference
• Year: 1999
• Where: ICIP
• Authors: Jean Gao, Akio Kosaka, Avinash C. Kak
• Keywords: Coarse Region Segmentation, ICIP 1999, Image Processing, Image Segmentation Editor, Segmentation Operations