Paper Info
Title
The Automatic Detection and Recognition of Objective Parts in Real-World Building Image
Abstract
Now, we are constructing a City-streets Building Database System. Particularly, we want to use this system to recognize real-world building images and provide the necessery information about the build- ing objects. Because in building image there are many objects, and only the parts of building objects are necessary for recognition, we have developed a method by which all the parts of building objects are first detected using a statistical algorithm, and then the image features are extracted from the parts. Here, we suggest that the texture and color features are extracted respectively using "wavelet transform" on "wavelet transform" theory and color clustering method for recognition. In experiments, the real- world building images taken with a different angle, light, and scale on some extent from the image pat- terns of the database, are used to test the accuracy and efficacy of the method. This paper is organized as follows. The detection of the building parts using the statistical algorithm is discussed in section 2. The extraction of color and texture features are given in section 3. The ex- periment results are presented in section 4. Finally, we summarize this paper and presented the future research work. and color-clustering. At the same time, a method 2 The detection of the building parts called "vote" is used to decide the candidates for building object. Finally, we will ~ive some experi-
Year
Venue
Keywords
1998
Journal of Machine Vision and Applications
wavelet transform,image features,database system
Field
DocType
Citations 
Computer vision,Pattern recognition,Feature (computer vision),Statistical algorithm,Artificial intelligence,Cluster analysis,Mathematics,Wavelet transform
Conference
0
PageRank 
References 
Authors
0.34
2
2
Name
Order
Citations
PageRank
Haomin Jin132.22
Masao Sakauchi2688149.27