Detection of matchings in a sequence of underwater images through texture analysis

This paper presents an approach to ameliorate the reliability of the correspondence points relating two consecutive images of a sequence. The images are especially difficult to handle, since they have been acquired by a camera looking at the sea floor while carried by an underwater robot. Underwater images are usually difficult to process due to light absorption, changing image radiance and lack of well-defined features. A new approach based on gray-level region matching and selective texture analysis significantly improves the matching reliability.

• Type: Conference
• Year: 2001
• Where: ICIP
• Authors: Joan Batlle, Rafael García, Xavier Cufí
• Keywords: Gray-level Region Matching, ICIP 2001, Image Processing, Matching Reliability, Selective Texture Analysis