3篇
您的检索式：作者名="Muzamir Isa"
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| 1 | Tracking error analysis of a rotation-elevation mode heliostat显示文摘 | Omar Aliman Ismail Daut Muzamir Isa | 2007 | American Journal of Applied Science2007，4，3： | 1 |
| 2 | Experimental Evaluation of Rogowski Coil Performance for Locating PD in Energized Overhead Covered-Conductor Feeder显示文摘 | Muzamir Isa Nagy Ibrahim Elkalashy Ghulam Murtaza Hashmi Matti Lehtonen | 2012 | Journal of Energy and Power Engineering2012，6，6： | 0 |
| 3 | Electrical Tree Image Segmentation Using Hybrid Multi Scale Line Tracking Algorithm显示文摘Electrical trees are an aging mechanismmost associated with partial discharge(PD)activities in crosslinked polyethylene(XLPE)insulation of high-voltage(HV)cables.Characterization of electrical tree structures gained considerable attention from researchers since a deep understanding of the tree morphology is required to develop new insulation material.Two-dimensional(2D)optical microscopy is primarily used to examine tree structures and propagation shapes with image segmentation methods.However,since electrical trees can emerge in different shapes such as bush-type or branch-type,treeing images are complicated to segment due to manifestation of convoluted tree branches,leading to a high misclassification rate during segmentation.Therefore,this study proposed a new method for segmenting 2D electrical tree images based on the multi-scale line tracking algorithm(MSLTA)by integrating batch processing method.The proposed method,h-MSLTA aims to provide accurate segmentation of electrical tree images obtained over a period of tree propagation observation under optical microscopy.The initial phase involves XLPE sample preparation and treeing image acquisition under real-time microscopy observation.The treeing images are then sampled and binarized in pre-processing.In the next phase,segmentation of tree structures is performed using the h-MSLTA by utilizing batch processing in multiple instances of treeing duration.Finally,the comparative investigation has been conducted using standard performance assessment metrics,including accuracy,sensitivity,specificity,Dice coefficient and Matthew’s correlation coefficient(MCC).Based on segmentation performance evaluation against several established segmentation methods,h-MSLTA achieved better results of 95.43%accuracy,97.28%specificity,69.43%sensitivity rate with 23.38%and 24.16%average improvement in Dice coefficient and MCC score respectively over the original algorithm.In addition,h-MSLTA produced accurate measurement results of global tree parameters of length and width in comparison with the ground truth image.These results indicated that the proposed method had a solid performance in terms of segmenting electrical tree branches in 2D treeing images compared to other established techniques. | Mohd Annuar Isa Mohamad Nur Khairul Hafizi Rohani Baharuddin Ismail Mohamad Kamarol Jamil Muzamir Isa Afifah Shuhada Rosmi Mohd Aminudin Jamlos Wan Azani Mustafa Nurulbariah Idris Abdullahi Abubakar Mas’ud | 2023 | Computers, Materials & Continua2023，，4： | 0 |
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