Showing 1-25 of 19,900 resultsfor "Index Terms":Edge Region
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Extracting Region with Holes with Edge Expanding Method
2009 International Conference on Multimedia Information Networking and Security
Year: 2009 | Conference Paper |
Cited by: Patents (1)
In this paper, a method of region expanding evenly along edge is presented, meanwhile holes can be detected as byproducts. The complexity of the algorithm is O(n), where n is the quantity of pixels in the region. The source region is selected by 5 contiguous pixels with shape "+", of which the surrounding 4 pixels constitute the original edge. For every edge segment, a pixel out of the edge is che...Show More
Fuzzy based seeded region growing for image segmentation
NAFIPS 2009 - 2009 Annual Meeting of the North American Fuzzy Information Processing Society
Year: 2009 | Conference Paper |
Cited by: Papers (9)
This study proposes a novel seeded region growing based image segmentation method for both color and gray level images. The proposed fuzzy edge detection method, that only detects the connected edge, is used with fuzzy image pixel similarity to automatically select the initial seeds. The fuzzy distance is used to determine the difference between the pixel and region in the consequent regions growi...Show More
Image segmentation using edge detection and region distribution
2010 3rd International Congress on Image and Signal Processing
Year: 2010 | Conference Paper |
Cited by: Papers (9)
In this paper, we propose a new concept to integrate the conventional image segmentation techniques in order to accomplish the reasonable segmentation results. First, we develop an automatic seed selection algorithm using histogram for both scale and color vector. And the luminance and chrominance are utilized in the image as a guidance to optimize the region growing and region merging. Then we ex...Show More
High Capacity Data Hiding by Detecting Weak Edges Through Declivity Operator
Biswajita Datta;Romit Dutta;Akash Roy;Samir Kumar Bandyopadhyay
2018 15th IEEE India Council International Conference (INDICON)
Year: 2018 | Conference Paper |
Region based steganography hides secret information in a particular region of the image. Here the regions are selected based on image attributes or the characteristics of human perceptions. The challenges of this kind of steganography approach are enhancement in capacity and the proper extraction of target data at the receiver side. Edge based steganography is special kind of region based approach...Show More
Area Segmentation of Images Using Edge Points
A new method for segmenting images using abrupt changes in intensity (edge points) to separate regions of smoothly varying intensity is discussed. Region segmentation using edge points has not been very successful in the past because small gaps would allow merging of dissimilar regions. The present method uses an expansion-contraction technique in which the edge regions are first expanded to close...Show More
Scene Text Detection via Edge Cue and Multi-features
2016 15th International Conference on Frontiers in Handwriting Recognition (ICFHR)
Year: 2016 | Conference Paper |
Cited by: Papers (4)
Inspired by the fact that edge is an important cue to distinguish texts from background, we propose a novel scene text detection method via edge cue and multiple features, which has two main parts, i.e. candidate character region (CCR) extraction and region classification. For CCR extraction, the edges are first extracted from the input image, which are then broken and merged based on color featur...Show More
Image compression algorithm based on automatic extracted ROI
2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)
Year: 2014 | Conference Paper |
Cited by: Papers (1)
An region of interesting compression algorithm of still image is introduced. The algorithm that is based on embedded block coding with optimized truncation (EBCOT) encodes the interested region of the image. According to the character of image edge, an improved canny edge detection algorithm is proposed before the wavelet transform, without the participation of automatic extraction of artificial r...Show More
This paper proposes an adaptive edge-directed interpolation algorithm using multidirectional neighbor pixels. In order to restore multidirectional edges, a missing pixel is estimated as a weighted sum of 12 neighbor pixels. Based on the geometric duality between a low resolution image and a high resolution image, interpolation coefficients are predicted using Wiener filter theory. In order to redu...Show More
A fire image segmentation arithmetic based on multi images edge difference
2012 Proceedings of International Conference on Modelling, Identification and Control
Year: 2012 | Conference Paper |
In the research of fire detection, aiming at flame segmentation, traditional method usually produces serious yawp. In order to solve this problem, the article imports multi images' edge difference as segmentation base. It also defines a new connecting distance which can accurately denote the connecting distance by changing angle. This method can be extended to two expressions that one is based on ...Show More
Edge-oriented two-step interpolation based on training set
Ji-hoon Lee;Jong-ok Kim;Jong-woo Han;Kang-sun Choi;Sung-jea Ko
Preserving the sharpness of edge structures is highly challenging to image interpolation. In this paper, we propose an edge-oriented two-step interpolation method that utilizes an edge training set. For edge interpolation, the LR edge map is converted into the HR edge map by using the training set. Then, an image is classified into smooth and edge regions using the HR edge map, and both regions ar...Show More
Region-Level SAR Image Segmentation Based on Edge Feature and Label Assistance
Ronghua Shang;Mengmeng Liu;Licheng Jiao;Jie Feng;Yangyang Li;Rustam Stolkin
This article proposes a novel segmentation algorithm for synthetic aperture radar (SAR) images. The algorithm performs region-level segmentation based on edge feature and label assistance. It demonstrates improved performance in terms of segmentation accuracy while better preserving image edges. First, an edge detection scheme is implemented, which fuses information from two advanced edge detectio...Show More
Segmented image interpolation using edge direction and texture synthesis
2008 15th IEEE International Conference on Image Processing
Year: 2008 | Conference Paper |
Cited by: Patents (1)
In this paper, we propose an adaptive interpolation method for low quality still images such as single video frames. Our method chooses different interpolation schemes according to the local image context. First, we segment the image into three types of regions: smooth regions which contain no edges, well-defined edges such as object boundaries, and textured regions which are covered by dense spur...Show More
A multi-focus color image fusion method based on edge detection
The 27th Chinese Control and Decision Conference (2015 CCDC)
Year: 2015 | Conference Paper |
Cited by: Papers (1)
Aiming at multi-focus color image fusion, An image fusion algorithm based on the Canny edge detection is proposed. Firstly, the color image is converted into grayscale image, then, the Canny edge detection algorithm is used to detect the edge of grayscale image to obtain the corresponding edge image. Secondly, the area of the two edge images is compared and the isolated point is removed. The strip...Show More
Machine Vision Based Segmentation of the Goldplate Area from a Flexible Printed Circuit Board
2020 2nd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM)
Year: 2020 | Conference Paper |
Cited by: Papers (1)
Inspection of flexible printed circuit board (FPCB) is a crucial process in the manufacture industry. Besides, edge detection and extraction of the region of interest (ROI) is always a main issue. An effective segmentation method helps to reduce the influence of the irrelevant factors, thus largely augment the performance of defect inspection in the following process. In this paper, a method of se...Show More
Melon Ripeness Determination Using K-nearest Neighbor Algorithm
Homer John M. Samar;Hernanny Jeremy J. Manalang;Jocelyn F. Villaverde
2024 16th International Conference on Computer and Automation Engineering (ICCAE)
Year: 2024 | Conference Paper |
This paper presents a method for determining the ripeness of Cantaloupe using a K-Nearest Neighbors (KNN) Algorithm on a Raspberry PI. One of the most common problems is determining fruit ripeness purely by visual inspection and traditional methods, such as relying on touch, which is challenging to implement. The Color Segmentation Algorithm used in the study operates in the HSV color space. The C...Show More
Color image segmentation based on seeded region growing with Canny edge detection
2014 12th International Conference on Signal Processing (ICSP)
Year: 2014 | Conference Paper |
Cited by: Papers (7)
A method of color image segmentation by seeded region growing scheme combined with Canny edge detection is proposed. Firstly, we use Otsu method to achieve threshold arguments which make Canny edge detection more effective. Secondly, we input the achieved edge as one of the seed selection conditions to achieve initial seeds. Finally, seeded region growing and region merging take into effect. Exper...Show More
Evaluation of Rich Edge Region Extraction and Prewitt Edge Detection Techniques for Improving the Accuracy of Image Restoration in Motion-Blurred Images
2024 International Conference on Trends in Quantum Computing and Emerging Business Technologies
Year: 2024 | Conference Paper |
This study is primarily aimed at comparing the % of restored motion blurred photos, using Novel Rich Edge Region Extraction algorithm and Prewitt Edge Detection Technique. This comparison will be made with Novel Rich Edge Region Extraction. There is also a comparative analysis of the models depending on their accuracy and efficiency. Group 1, which has used Novel Rich Edge Region Extraction techni...Show More
A New Iris Region Segmentation Method
2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery
Year: 2008 | Conference Paper |
Cited by: Papers (5)
Iris edge detection is a key step for iris boundary localization in iris recognition system, because there are many edge points caused by influences in iris image such as eyelashes, eyelid and light spots, it causes that edge detection and localization are generally computationally expensive. In order to improve the speed of iris boundaries localization, a new edge detection method for iris images...Show More
Multi region segmentation algorithm based on edge preserving for molten pool image
2016 International Conference on Control, Automation and Information Sciences (ICCAIS)
Year: 2016 | Conference Paper |
Cited by: Papers (2)
This paper is aimed at the difficult problem of multi region segmentation of weld pool image, analyzed the difficulty of edge extraction in the inner region of the weld pool. According to the characteristics between pixel neighborhood space and neighbor pixel correlation, based on local standard deviation, presented a noise suppression, edge enhancement of the weld pool image multi region division...Show More
A Psychometric Approach to Edge Detector Calibration in Grey-scale Images
2005 IEEE Instrumentationand Measurement Technology Conference Proceedings
Year: 2005 | Conference Paper |
Cited by: Papers (1)
An edge detection algorithm is a filter which significantly reduces the amount of information present in an image such that only high frequency changes in either range or intensity are visible in the resulting image. In order to perform effective edge detection the user must have a clear idea of the frequency above which an edge will be identified. In grey-scale images, edges represent sudden or h...Show More
Sector Window SAR Image Edge Detector With Edge Compensation Strategy
2023 2nd International Conference on Artificial Intelligence and Computer Information Technology (AICIT)
Year: 2023 | Conference Paper |
It is found that in the edge detection of synthetic aperture radar (SAR) images, conventional Gaussian-Gamma Shaped (GGS) and Ratio of Average (ROA) algorithms use detection windows that tend to cross over the true edges and contain regions of different quality, which leads to high false alarm rates. To solve this problem, the study proposes a new edge detector with a novel window design called th...Show More
The edge detection and extraction of workpiece images is one of the important links in industrial automation production process. Image edge detection accuracy of the workpiece of traditional edge detection operator is limited and high sensitivity to noise, aiming at these problems in the detection link, a novel image edge detection method of workpiece based on the improved extreme learning machine...Show More
Unsupervised despeckling performance evaluation for SAR images
2016 IEEE International Conference on Electronic Information and Communication Technology (ICEICT)
Year: 2016 | Conference Paper |
To evaluate despeckling performance of SAR images using the equivalent number of looks(ENL) and edge keeping index(EKI), a new unsupervised evaluation method is proposed. First, ratio-based edge strength map(RESM) and direction information are calculated by anisotropic Gaussian kernel(AGK) bi-windows. Second, SAR image is divided into homogeneous regions and edge regions by thresholding RESM with ...Show More
Detection of wide linear structures by fusion of width and gray
2013 IEEE International Conference on Multimedia and Expo (ICME)
Year: 2013 | Conference Paper |
Lines provide important information in images and line detection is crucial in many applications. Many line features can be used to detect line position while line width (i.e., thickness) is a more structured, higher-level feature compared to edge or other line features. Every point of the wide line structure has its own width in spite of the structure's asymmetry. In this paper, we use the parall...Show More
Object detection in infrared image with sea clutter
The 6th International Conference on Soft Computing and Intelligent Systems, and The 13th International Symposium on Advanced Intelligence Systems
Year: 2012 | Conference Paper |
Cited by: Papers (3)
In this paper, a new method for detecting various objects that can be risks to safety navigation in sea environment is proposed. By analyzing Infrared(IR) images obtained from various sea environments, we could find out that object regions include both horizontal and vertical direction edges while background regions of sea surface mainly include vertical direction edges. Therefore, we present an a...Show More
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