SCENE TEXT SEGMENTATION BY APPLYING TRIMMED MEDIAN FILTER USING ENERGETIC EDGE

SCENE TEXT SEGMENTATION BY APPLYING TRIMMED MEDIAN FILTER USING ENERGETIC EDGE

This proposed method is an accurate and strong method for detecting texts in natural scene images. There are many cases that text regions are not clearly noTable.by background regions due to brightness or illumination variations. The proposed scene text finding process finds out the scene text conte...

Full description

Bibliographic Details
Main Authors: T Beula Bell, BM K Jeya Kumar
Format: Article
Language:English
Published: ICT Academy of Tamil Nadu 2017-11-01
Series:ICTACT Journal on Image and Video Processing
Subjects:
Noise Reduction
Energetic Edge Detection
Local Directional Number
Linked Map
Non Seen Text Rejection
Online Access:http://ictactjournals.in/ArticleDetails.aspx?id=3234
id doaj-8001664d84184538a3495ff2dcedd1b5
record_format Article
spelling doaj-8001664d84184538a3495ff2dcedd1b52020-11-25T03:34:46ZengICT Academy of Tamil NaduICTACT Journal on Image and Video Processing0976-90990976-91022017-11-01821626163210.21917/ijivp.2017.0228SCENE TEXT SEGMENTATION BY APPLYING TRIMMED MEDIAN FILTER USING ENERGETIC EDGET Beula Bell0BM K Jeya Kumar1Manomaniam Sundaranar University, IndiaNoorul Islam University, IndiaThis proposed method is an accurate and strong method for detecting texts in natural scene images. There are many cases that text regions are not clearly noTable.by background regions due to brightness or illumination variations. The proposed scene text finding process finds out the scene text contents from the natural scene images using the sophisticated edge revealing methods, the local directional number feature and linked map generation process. This proposed method takes natural scene image as input and detects the scene text regions. The detected scene text regions are marked for visual identification for human eyes.http://ictactjournals.in/ArticleDetails.aspx?id=3234Noise ReductionEnergetic Edge DetectionLocal Directional NumberLinked MapNon Seen Text Rejection
collection DOAJ
language English
format Article
sources DOAJ
author T Beula Bell
BM K Jeya Kumar
spellingShingle T Beula Bell
BM K Jeya Kumar
SCENE TEXT SEGMENTATION BY APPLYING TRIMMED MEDIAN FILTER USING ENERGETIC EDGE
ICTACT Journal on Image and Video Processing
Noise Reduction
Energetic Edge Detection
Local Directional Number
Linked Map
Non Seen Text Rejection
author_facet T Beula Bell
BM K Jeya Kumar
author_sort T Beula Bell
title SCENE TEXT SEGMENTATION BY APPLYING TRIMMED MEDIAN FILTER USING ENERGETIC EDGE
title_short SCENE TEXT SEGMENTATION BY APPLYING TRIMMED MEDIAN FILTER USING ENERGETIC EDGE
title_full SCENE TEXT SEGMENTATION BY APPLYING TRIMMED MEDIAN FILTER USING ENERGETIC EDGE
title_fullStr SCENE TEXT SEGMENTATION BY APPLYING TRIMMED MEDIAN FILTER USING ENERGETIC EDGE
title_full_unstemmed SCENE TEXT SEGMENTATION BY APPLYING TRIMMED MEDIAN FILTER USING ENERGETIC EDGE
title_sort scene text segmentation by applying trimmed median filter using energetic edge
publisher ICT Academy of Tamil Nadu
series ICTACT Journal on Image and Video Processing
issn 0976-9099
0976-9102
publishDate 2017-11-01
description This proposed method is an accurate and strong method for detecting texts in natural scene images. There are many cases that text regions are not clearly noTable.by background regions due to brightness or illumination variations. The proposed scene text finding process finds out the scene text contents from the natural scene images using the sophisticated edge revealing methods, the local directional number feature and linked map generation process. This proposed method takes natural scene image as input and detects the scene text regions. The detected scene text regions are marked for visual identification for human eyes.
topic Noise Reduction
Energetic Edge Detection
Local Directional Number
Linked Map
Non Seen Text Rejection
url http://ictactjournals.in/ArticleDetails.aspx?id=3234
work_keys_str_mv AT tbeulabell scenetextsegmentationbyapplyingtrimmedmedianfilterusingenergeticedge
AT bmkjeyakumar scenetextsegmentationbyapplyingtrimmedmedianfilterusingenergeticedge
_version_ 1724557543327399936

Similar Items