Browsing by Author "Jan, SR"
Now showing 1 - 3 of 3
- Results Per Page
- Sort Options
Item type:Item, Comparative study on morphological skeletonization and fuzzy medial axis transformation(2002-01-01) ;Jan, SR ;Hsueh, YC ;資訊工程學系Department of Computer ScienceIn this paper, we make a comparative study on morphological skeletonization (MSK) and fuzzy medial axis transformation (FMAT), Methods have been proposed to construct convex FMAT from the morphological skeleton points and to translate FMAT to MSK respectively. For the case of translating MSK to convex FMAT the experimental results reveal that the combination of the proposed method and the redundant removal algorithm is very effective. Especially, the combined method is faster than the original method for constructing convex FMAT of smoothed images. (C) 2002 SPIE and IST.Item type:Item, Primitive spatial relations based on SKIZ(2000-05-15) ;Jan, SR ;Hsueh, YC ;資訊工程學系Department of Computer ScienceSpatial relations between objects or regions in an image play important roles in scene understanding. However, it is difficult to define these relations for automation. Most existing methods for defining spatial relations depend on angle measurements between points of the two objects of interest. In this study, we propose a new approach based on the concept of skeleton by zones of influence (SKIZ) for recognizing the primitive spatial relations between objects or regions in a segmented image. The approach is compared with the aggregation and compatibility methods. The experimental result shows the proposed approach is effective and fast. (C) 2000 Elsevier Science B.V. All rights reserved.Item type:Item, Window-size determination for granulometrical structural texture classification(1998-04-01) ;Jan, SR ;Hsueh, YC ;資訊工程學系Department of Computer ScienceIn this paper we present a method to predict the window size when determining the local granulometry for a structural texture image set. The proposed method is based on the concept of periodicity property of structural texture images. It suggests that one may choose the minimum odd number not less than the maximum periods of texture images as a window size. (C) 1998 Elsevier Science B.V. All rights reserved.