Finding image structure by hierarchal segmentation

Bo Qiu, Daniel Racoceanu

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

Image segmentation has been studied far many years. But what factors influence segmentation results indeed? Why some images are easy to be handled while the others are not? In this paper we put forward the so-called 'image structure constant' and 'image structure map' to judge the complexity of an image. They can be applied on any image. 'Structure constant' can be found by a hierarchal segmentation method based on k-means and gray histogram, which is processed by increasing the clustering centers' number of m-means step by step and tracing the regions' change. At the same time its structure map can be formed reflecting the relationship between pixel gray values and image regions. With the structure constant and structure map we can dissert an image is easy to be segmented or not, quantitatively. Furthermore, a Neighbor-Matched-Region (NMR) graph is designed to judge an image's complexity. Experiments show that the proposed concepts and the relevant algorithms are useful tools in analyzing images.

Idioma originalInglés
Título de la publicación alojadaProceedings of the 2007 IEEE International Conference on Multimedia and Expo, ICME 2007
EditorialIEEE Computer Society
Páginas1419-1422
Número de páginas4
ISBN (versión impresa)1424410177, 9781424410170
DOI
EstadoPublicada - 2007
Publicado de forma externa
EventoIEEE International Conference onMultimedia and Expo, ICME 2007 - Beijing, China
Duración: 2 jul. 20075 jul. 2007

Serie de la publicación

NombreProceedings of the 2007 IEEE International Conference on Multimedia and Expo, ICME 2007

Conferencia

ConferenciaIEEE International Conference onMultimedia and Expo, ICME 2007
País/TerritorioChina
CiudadBeijing
Período2/07/075/07/07

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