7th International Conference on Control, Automation, Robotics and Vision, 2002. ICARCV 2002., 2002
With the advances in digital imagery, large accessible data storage, internet repositories, and i... more With the advances in digital imagery, large accessible data storage, internet repositories, and image applications, information conveyed through images is gaining in importance. There is a need to find a desired image from a collection of images, which is shared by many groups including journalists, engineers, historians, designers, teachers, artists and advertising agencies. Humans have the capability to determine only
Large image databases are used in many multimedia applications such as entertainment, business, a... more Large image databases are used in many multimedia applications such as entertainment, business, art, engineering, and science. Searching information in large images repositories is a problem of great importance for the development of visual information system. Traditionally, image databases have been accessed by textual queries, which require the indexing of the entire database content. This textual annotation is a time
International Conference in Central Europe on Computer Graphics and Visualization, 2002
The representation, matching and analysis of objects of interest are of prime importance in shape... more The representation, matching and analysis of objects of interest are of prime importance in shape-based retrieval systems. Considering that these systems involve analysis of various complex shapes, an accurate representation of free form shape is required. A simple and accurate shape representation procedure would ensure meaningful results from the shape-based retrieval systems. Motivated by this factor, this paper presents a
2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
Automating the detection of lesions in liver CT scans requires a high performance and robust solu... more Automating the detection of lesions in liver CT scans requires a high performance and robust solution. With CT-scan start to become the norm in emergency department, the need for a fast and efficient liver lesions detection method is arising. In this paper, we propose a fast and evolvable method to profile the features of pre-segmented healthy liver and use it to detect the presence of liver lesions in emergency scenario. Our preliminary experiment with the MICCAI 2007 grand challenge datasets shows promising results of a fast training time, ability to evolve the produced healthy liver profiles, and accurate detection of the liver lesions. Lastly, the future work directions are also presented.
2009 Third UKSim European Symposium on Computer Modeling and Simulation, 2009
Image processing plays an important role in computer science, making complex image manipulation m... more Image processing plays an important role in computer science, making complex image manipulation more feasible. It can be used either in a general manner or in specific domains such as for medical purposes. With the availability of the internet, image processing applications can be distributed to be available for different people, regardless of their geographical location. Although there are a
2009 2nd International Conference on Biomedical Engineering and Informatics, 2009
Abstract— This paper presents a new segmentation method that integrates a wavelet based feature, ... more Abstract— This paper presents a new segmentation method that integrates a wavelet based feature, which is able to enhance the dissimilarity between regions with low variations in intensity. This feature is integrated to formulate a new level set based active contour ...
2009 2nd International Conference on Biomedical Engineering and Informatics, 2009
One major challenge faced by segmentation techniques in analyzing and visualizing individual slic... more One major challenge faced by segmentation techniques in analyzing and visualizing individual slices of a 3D anatomical structure, is the degree of manual interaction required. To alleviate this problem, researchers have proposed the automatic incorporation of anatomical knowledge, via medical atlases to assist with the segmentation process. Some solutions include constructing specialized simple 2D, as well as complex 3D atlases. In this paper we propose a simple method that automatically transfers a prior anatomical knowledge from a simple teaching atlas of a single 2D slice to the most similar slice in the 3D volume dataset. Segmentation of the selected anatomy is then able to be propagated automatically on the remaining slices in the dataset without further manual interaction. Our experiments are conducted on abdomen CT images and we successful delineation and visualization have been demonstrated for spleen, and kidney images.
2010 Second International Conference on Computational Intelligence, Modelling and Simulation, 2010
Abstract In this paper, we propose a spatial fuzzy clustering method based on multiple criteria o... more Abstract In this paper, we propose a spatial fuzzy clustering method based on multiple criteria optimization method. Our fuzzy clustering method is an enhanced version of fuzzy c-means (FCM) with consideration of multiple criteria. We initiate our multiple criteria optimization approach with two criteria in term of the features of an image: spatial information and intensity. Our spatial clustering attempts to overcome the limitation of conventional FCM. We have tested the proposed method on synthetic and coins images ...
2011 IEEE International Conference on Imaging Systems and Techniques, 2011
... Parallel Fuzzy C – Means Cluster Analysis Mogana Vadiveloo, Rosni Abdullah, Mandava Rajeswari... more ... Parallel Fuzzy C – Means Cluster Analysis Mogana Vadiveloo, Rosni Abdullah, Mandava Rajeswari, Ahmad Adel Abu-Shareha School of Computer Sciences Universiti Sains Malaysia 11800 Penang, Malaysia mv90991@student.usm.my, {rosni, mandava, adel}@cs.usm.my ...
2008 Fifth International Conference on Computer Graphics, Imaging and Visualisation, 2008
This paper introduces Textured Renyi Entropy for image thresholding based on a novel combination ... more This paper introduces Textured Renyi Entropy for image thresholding based on a novel combination mechanism. The Renyi Entropy is extended by modifying its priori, while still preserving overall functionality. An optional priori is introduced to improve accuracy. The priori modification allows adding of texture information in an efficient way, which results in more accurate thresholding. Furthermore, the proposed mechanism allows
2008 Fifth International Conference on Computer Graphics, Imaging and Visualisation, 2008
This paper presents a hybrid algorithm for object based clustering. The algorithm is designed bas... more This paper presents a hybrid algorithm for object based clustering. The algorithm is designed based on hybrid of hierarchical and k-means clustering algorithm. For this work, we used dataset consist of natural imagery collected from PASCAL database 2006 collection and Google images. A collection of low level features image is used to validate the performance of our approach. Experimental results
Abstract This study reviews the state-of-the-art multiobjective optimisation (MOO) techniques wit... more Abstract This study reviews the state-of-the-art multiobjective optimisation (MOO) techniques with metaheuristic through clustering approaches developed specifically for image segmentation problems. The authors treat image segmentation as a real-life problem with multiple objectives; thus, focusing on MOO methods that allow a trade-off among multiple objectives. A reasonable solution to a multiobjective (MO) problem is to investigate a set of solutions, each of which satisfies the objectives at an acceptable level without being ...
7th International Conference on Control, Automation, Robotics and Vision, 2002. ICARCV 2002., 2002
With the advances in digital imagery, large accessible data storage, internet repositories, and i... more With the advances in digital imagery, large accessible data storage, internet repositories, and image applications, information conveyed through images is gaining in importance. There is a need to find a desired image from a collection of images, which is shared by many groups including journalists, engineers, historians, designers, teachers, artists and advertising agencies. Humans have the capability to determine only
Large image databases are used in many multimedia applications such as entertainment, business, a... more Large image databases are used in many multimedia applications such as entertainment, business, art, engineering, and science. Searching information in large images repositories is a problem of great importance for the development of visual information system. Traditionally, image databases have been accessed by textual queries, which require the indexing of the entire database content. This textual annotation is a time
International Conference in Central Europe on Computer Graphics and Visualization, 2002
The representation, matching and analysis of objects of interest are of prime importance in shape... more The representation, matching and analysis of objects of interest are of prime importance in shape-based retrieval systems. Considering that these systems involve analysis of various complex shapes, an accurate representation of free form shape is required. A simple and accurate shape representation procedure would ensure meaningful results from the shape-based retrieval systems. Motivated by this factor, this paper presents a
2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
Automating the detection of lesions in liver CT scans requires a high performance and robust solu... more Automating the detection of lesions in liver CT scans requires a high performance and robust solution. With CT-scan start to become the norm in emergency department, the need for a fast and efficient liver lesions detection method is arising. In this paper, we propose a fast and evolvable method to profile the features of pre-segmented healthy liver and use it to detect the presence of liver lesions in emergency scenario. Our preliminary experiment with the MICCAI 2007 grand challenge datasets shows promising results of a fast training time, ability to evolve the produced healthy liver profiles, and accurate detection of the liver lesions. Lastly, the future work directions are also presented.
2009 Third UKSim European Symposium on Computer Modeling and Simulation, 2009
Image processing plays an important role in computer science, making complex image manipulation m... more Image processing plays an important role in computer science, making complex image manipulation more feasible. It can be used either in a general manner or in specific domains such as for medical purposes. With the availability of the internet, image processing applications can be distributed to be available for different people, regardless of their geographical location. Although there are a
2009 2nd International Conference on Biomedical Engineering and Informatics, 2009
Abstract— This paper presents a new segmentation method that integrates a wavelet based feature, ... more Abstract— This paper presents a new segmentation method that integrates a wavelet based feature, which is able to enhance the dissimilarity between regions with low variations in intensity. This feature is integrated to formulate a new level set based active contour ...
2009 2nd International Conference on Biomedical Engineering and Informatics, 2009
One major challenge faced by segmentation techniques in analyzing and visualizing individual slic... more One major challenge faced by segmentation techniques in analyzing and visualizing individual slices of a 3D anatomical structure, is the degree of manual interaction required. To alleviate this problem, researchers have proposed the automatic incorporation of anatomical knowledge, via medical atlases to assist with the segmentation process. Some solutions include constructing specialized simple 2D, as well as complex 3D atlases. In this paper we propose a simple method that automatically transfers a prior anatomical knowledge from a simple teaching atlas of a single 2D slice to the most similar slice in the 3D volume dataset. Segmentation of the selected anatomy is then able to be propagated automatically on the remaining slices in the dataset without further manual interaction. Our experiments are conducted on abdomen CT images and we successful delineation and visualization have been demonstrated for spleen, and kidney images.
2010 Second International Conference on Computational Intelligence, Modelling and Simulation, 2010
Abstract In this paper, we propose a spatial fuzzy clustering method based on multiple criteria o... more Abstract In this paper, we propose a spatial fuzzy clustering method based on multiple criteria optimization method. Our fuzzy clustering method is an enhanced version of fuzzy c-means (FCM) with consideration of multiple criteria. We initiate our multiple criteria optimization approach with two criteria in term of the features of an image: spatial information and intensity. Our spatial clustering attempts to overcome the limitation of conventional FCM. We have tested the proposed method on synthetic and coins images ...
2011 IEEE International Conference on Imaging Systems and Techniques, 2011
... Parallel Fuzzy C – Means Cluster Analysis Mogana Vadiveloo, Rosni Abdullah, Mandava Rajeswari... more ... Parallel Fuzzy C – Means Cluster Analysis Mogana Vadiveloo, Rosni Abdullah, Mandava Rajeswari, Ahmad Adel Abu-Shareha School of Computer Sciences Universiti Sains Malaysia 11800 Penang, Malaysia mv90991@student.usm.my, {rosni, mandava, adel}@cs.usm.my ...
2008 Fifth International Conference on Computer Graphics, Imaging and Visualisation, 2008
This paper introduces Textured Renyi Entropy for image thresholding based on a novel combination ... more This paper introduces Textured Renyi Entropy for image thresholding based on a novel combination mechanism. The Renyi Entropy is extended by modifying its priori, while still preserving overall functionality. An optional priori is introduced to improve accuracy. The priori modification allows adding of texture information in an efficient way, which results in more accurate thresholding. Furthermore, the proposed mechanism allows
2008 Fifth International Conference on Computer Graphics, Imaging and Visualisation, 2008
This paper presents a hybrid algorithm for object based clustering. The algorithm is designed bas... more This paper presents a hybrid algorithm for object based clustering. The algorithm is designed based on hybrid of hierarchical and k-means clustering algorithm. For this work, we used dataset consist of natural imagery collected from PASCAL database 2006 collection and Google images. A collection of low level features image is used to validate the performance of our approach. Experimental results
Abstract This study reviews the state-of-the-art multiobjective optimisation (MOO) techniques wit... more Abstract This study reviews the state-of-the-art multiobjective optimisation (MOO) techniques with metaheuristic through clustering approaches developed specifically for image segmentation problems. The authors treat image segmentation as a real-life problem with multiple objectives; thus, focusing on MOO methods that allow a trade-off among multiple objectives. A reasonable solution to a multiobjective (MO) problem is to investigate a set of solutions, each of which satisfies the objectives at an acceptable level without being ...
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