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1
Development of saliency metric for autonomous landmark selection in cognitive robot navigation / Gao Hanyang
Published 2022“…The dissertation follows three objectives; to segment urban landmarks in an image, to develop an algorithm to quantify visual salience indicators for urban landmarks extraction, and to compare the performance of proposed algorithm in extracting urban landmarks between robot and human. …”
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Thesis -
2
Real-time vision-based Malaysian road sign recognition using an artificial neural network / Kh Tohidul Islam
Published 2017“…All these algorithms are tested using thousands of images. The hybrid color segmentation algorithm has eventually been chosen for this proposed system as it shows the best performance for detection of road signs. …”
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3
Stereo matching algorithm using census transform and segment tree for depth estimation
Published 2023“…This article proposes an algorithm for stereo matching corresponding process that will be used in many applications such as augmented reality, autonomous vehicle navigation and surface reconstruction. …”
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4
Testing the minimal bounded space method on vision-based drone navigation / Yap Seng Kuang
Published 2021“…Recently, the availability of the deep learning algorithm also encourages the object-based approach for drone navigation. …”
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5
Deep learning-based water segmentation for autonomous surface vessel
Published 2020“…Using the developed ASV, new dataset of 143 images called Malaysia ASV Dataset (MASVD) is collected, labelled and made publicly available. …”
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Proceeding Paper -
6
Computed tomography and echocardiography image fusion technique for cardiac images
Published 2016“…It is a new geometrically level Set algorithm for the segmentation of the endocardial contours in echocardiographic images in presence of intensity non-uniformity. …”
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7
A generalized laser simulator algorithm for optimal path planning in constraints environment
Published 2022“…A statistical test was used to demonstrate the efficiency of the proposed algorithm over the compared methods. …”
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8
Lane markings detection based on e-maxima transformation and improved hough
Published 2012“…The feature of roadway has certain degree of curvature and constraints, for instance, no sudden road turn is the design for road safety driving. A short segment of a long curve with a relatively low curvature is approximated as a straight line, based on this point, the important contribution of this thesis presents a lane detection algorithm using E-MAXIMA transformation and improved Hough transform which is the algorithm with great efficiency, high robustness and also at low cost to detect road lane markings. …”
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9
Image segmentation based on normalised cuts with clustering algorithm
Published 2013“…With the approach applied in the normalised cuts based image segmentation, the constraint of using normalised cuts algorithm in image segmentation can be alleviated. …”
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10
UNSUPERVISED SEGMENTATION OF CORAL REEF IMAGES BY USING COLOR AND TEXTURE FEATURES
Published 2022“…The unsupervised segmentation of color-texture regions using J-value segmentation (JSEG) algorithm is one of the most popular and robust unsupervised segmentation algorithms. …”
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11
An improved fast scanning algorithm based on distance measure and threshold function in region image segmentation
Published 2016“…Various algorithms have been proposed for image segmentation and this includes the Fast Scanning algorithm which has been employed on food, sport and medical image segmentation. …”
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12
Breast Ultrasound Automated ROI Segmentation with Region Growing
Published 2015“…Image segmentation is an important technology used in different areas ranging from image processing to image analysis. …”
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Conference or Workshop Item -
13
Object based segmentation and analysis using deep learning algorithm for cats and dogs images
Published 2023“…Image segmentation is the process of segmenting an image into the region of interest. …”
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Final Year Project / Dissertation / Thesis -
14
Segmenting nodules of lung tomography image with level set algorithm and neural network
Published 2019“…Performance of the segmentation algorithms is analysed using 20 lung CT images from LIDC dataset. …”
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Proceedings -
15
Effects of Different Superpixel Algorithms on Interactive Segmentations
Published 2022“…The superpixels generated by these five algorithms will be used on two interactive image segmentation algorithms: i) Maximal Similarity based Region Merging (MSRM) and ii) Graph-Based Manifold Ranking (GBMR) with single and multiple strokes on various images from the Berkeley image dataset. …”
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Multiregion segmentation of mammogram images by using parametric kernel graph cut algorithm / Nurhanani Abdul Rahim, Nor Farah Nabilah Mushtafa and Nadhirah Afiqah Zailan
Published 2019“…Parametric Kernel Graph Cut Algorithm has overcome these common issues by using the kernel trick instead of using different kinds of model in segmenting any images. …”
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Student Project -
17
Region-growing based segmentation and bag of features classification for breast ultrasound images
Published 2017“…In the next stage, which is the segmentation stage, region growing algorithm is used to automatically detect tumors in ultrasound images. …”
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18
A video-rate color image segmentation using adaptive and statistical membership function
Published 2010“…Typically, the image segmentation algorithms in video processing system require very high computation power, so it is desirable to develop algorithms for implementation as a real-time system. …”
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19
Fuzzy modeling of brain tissues in Bayesian segmentation of brain MR images
Published 2010“…The Bayesian part uses the gray value of voxels in segmenting images and the segmented image is used as the input to fuzzy classifier to improve the misclassified voxels especially in borders between tissues. …”
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Conference or Workshop Item -
20
Effects of Different Superpixel Algorithms on Interactive Segmentations
Published 2022“…The superpixels generated by these five algorithms will be used on two interactive image segmentation algorithms: i) Maximal Similarity based Region Merging (MSRM) and ii) Graph-Based Manifold Ranking (GBMR) with single and multiple strokes on various images from the Berkeley image dataset. …”
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