Grass Detection for Picture Quality Enhancement of TV Video

B. Zafarifar, P.H.N. With, de

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

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Samenvatting

Current image enhancement in televisions can be improved if the image is analyzed, objects of interest are segmented, and each segment is processed with specifically optimized algorithms. In this paper we present an algorithm and feature model for segmenting grass areas in video sequences. The system employs adaptive color and position models for creating a coherent grass segmentation map. Compared with previously reported algorithms, our system shows significant improvements in spatial and temporal consistency of the results. This property makes the proposed system suitable for TV video applications.
Originele taal-2Engels
TitelProceedings of the 9th international conference on Advanced Concepts for Intelligent Vision Systems (ACIVS 2007) 28-31 August 2007, Delft, The Netherlands
RedacteurenJ. Blanc-Talon, W. Philips
Plaats van productieBerlin, Germany
UitgeverijSpringer
Pagina's687-698
ISBN van geprinte versie978-3-540-74606-5
DOI's
StatusGepubliceerd - 2007
Evenementconference; ACIVS, Delft, The Netherlands; 2007-08-28; 2007-08-31 -
Duur: 28 aug. 200731 aug. 2007

Publicatie series

NaamLecture Notes in Computer Science
Volume4678
ISSN van geprinte versie0302-9743

Congres

Congresconference; ACIVS, Delft, The Netherlands; 2007-08-28; 2007-08-31
Periode28/08/0731/08/07
AnderACIVS, Delft, The Netherlands

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