Hierarchic Image Classification Visualization

• Type: Article in International Conference Proceedings Book
• Date: 2013

Authors

mesquita, ta (Author) Other; marcal, ars (Author) FCUP

Conference proceedings International

Title: IMAGE ANALYSIS AND RECOGNITION

Pages: 152-159

10th International Conference on Image Analysis and Recognition (ICIAR)

Pvoa do Varzim, PORTUGAL, JUN 26-28, 2013

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Other information

Authenticus ID: P-008-EB3

DOI: 10.1007/978-3-642-39094-4_18

Abstract (EN): Image classification techniques are often used to reduce the large data volume content of an image to a simplified version - a thematic map, which can be more suitable from the user's point of view. However, the delimitation of specific regions using unsupervised classification techniques frequently generates an excessive number of clusters or classes. The resulting image can be simplified by a process of hierarchical aggregation of the initial classes, yielding a set of classified images. This set of thematic maps can provide a powerful insight into the image content, as long as an adequate visualization strategy is used. This paper presents methodologies for the visualization of hierarchically structured classified images.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 8