Grass Detection for Picture Quality Enhancement of TV Video

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

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Abstract

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.
Original languageEnglish
Title of host publicationProceedings of the 9th international conference on Advanced Concepts for Intelligent Vision Systems (ACIVS 2007) 28-31 August 2007, Delft, The Netherlands
EditorsJ. Blanc-Talon, W. Philips
Place of PublicationBerlin, Germany
PublisherSpringer
Pages687-698
ISBN (Print)978-3-540-74606-5
DOIs
Publication statusPublished - 2007
Eventconference; ACIVS, Delft, The Netherlands; 2007-08-28; 2007-08-31 -
Duration: 28 Aug 200731 Aug 2007

Publication series

NameLecture Notes in Computer Science
Volume4678
ISSN (Print)0302-9743

Conference

Conferenceconference; ACIVS, Delft, The Netherlands; 2007-08-28; 2007-08-31
Period28/08/0731/08/07
OtherACIVS, Delft, The Netherlands

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