Část monografie

Haindl M., Žid P.

Obinata G. ,Dutta A. ,

Vision Systems, Segmentation & Pattern Recognition

I-Tech Education and Publishing,

Vienna

2007

25-46

978-3-902613-05-9

prof. Ing. Michal Haindl, DrSc. (ÚTIA - Oddělení rozpoznávání obrazů)

Range segmentation, unsupervised segmentation

Computer vision is an area of the computer science which aims to make computers to have some functions owned by human vision system. During the research on computer vision, we often think about "how human see". Obviously, when a human observer views a scene, the observer sees not the whole complex scene, but rather a collection of objects. A common experience of segmentation is the way that an image can resolve itself into a figure, typically the significant, important object, and a ground, the background on which the figure lies. The capability of human beings to segment the complex scene into separated objects is so efficient that we regard it as a mystery. At meantime, it appeals the researchers of computer vision who want to let computer have the same capability. So the task, Image Segmentation, is presented. The chapter describes new achievements in the area of multimodal range and intensity image unsupervised segmentation. This chapter is organised as follows.