Flat zone analysis and a sharpening operation for gradual transition detection on video images

作     者：Guimaräes, SJF Leite, NJ Couprie, M Araújo, AD 

作者机构：Ecole Super Ingenieurs Electron & Electrotech Lab Algorithm & Architecture Syst Informat F-93162 Noisy Le Grand France Pontificial Catholic Univ Minas Gerais Inst Comp BR-31980110 Belo Horizonte MG Brazil Univ Estadual Campinas Inst Comp BR-13084971 Campinas SP Brazil Univ Fed Minas Gerais Dept Comp Sci Belo Horizonte MG Brazil 

出 版 物：《EURASIP JOURNAL ON APPLIED SIGNAL PROCESSING》 (EURASIP信号处理进展杂志)

年 卷 期：2004年第2004卷第12期

页      面：1943-1953页

核心收录：

学科分类：0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 

主　　题：flat zone analysis video transition identification visual rhythm 

摘      要：The boundary identification represents an interesting and difficult problem in image processing, mainly if two flat zones are separated by a gradual transition. The most common edge detection operators work properly for sharp edges, but can fail considerably for gradual transitions. In this work, we propose a method to eliminate gradual transitions, which preserves the number of the image flat zones. As an application example, we show that our method can be used to identify very common gradual video transitions such as fades and dissolves.