NDLI: A simple hybrid image segmentation method for embedded visual display devices

Content Provider	IEEE Xplore Digital Library
Author	Sateesh, B.
Copyright Year	2010
Description	Author affiliation: Research and Development, Samsung India Software Centre, India (Sateesh, B.)
Abstract	Image segmentation plays a major role in computer vision. It is a fundamental task for feature extraction and pattern matching applications. This paper proposes a simple hybrid Image segmentation method which is mainly based on mathematical morphological operations and filtering techniques. The main aim of the proposed hybrid segmentation method is to segment the foreground object in the given image and mark the segmented region with precision. The purpose of developing this method is to identify a prominent single object based photographs automatically in real time. Also the algorithm must work for worst cases (fog, mist, blur, noise etc). This requirement needs a precise segmentation approach which must be computationally less costly and easy to implement with better quality of segmenting the object as Region of interest. The images are at first subjected to Gaussian filtering to make the image smooth for segmentation. Later, applying Sobel edge detection algorithm to detect the edges properly and then applying morphological operations logically arranged in a novel way for morphological image cleaning purposes. In the final stage, the object of interest is segmented and marked which proves the efficiency of the proposed hybrid image segmentation algorithm. Furthermore, the proposed hybrid image segmentation algorithm is implemented in MATLAB (version 7.0 on an Intel P-4 dual core) and evaluated on 350 jpeg images with satisfactory results. The images sizes which were tested are 384 ∗ 288, 480 ∗ 320, 640 ∗ 480, 720 ∗ 480, 800 ∗ 600, 912 ∗ 608, 912 ∗ 684, 1024 ∗ 768 and 1600 ∗ 1200.
Starting Page	1301
Ending Page	1307
File Size	915497
Page Count	7
File Format	PDF
ISBN	9781424465132
e-ISBN	9781424465163
DOI	10.1109/CISP.2010.5647697
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	pattern matching Filtering Image edge detection Noise Cleaning Mathematical morphology Texture contour Morphological operations Image segmentation feature extraction Signal processing algorithms visual display devices Sobel Edge detection segmentation Gaussian
Content Type	Text
Resource Type	Article

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