Search Results - (( image segmentation method algorithm ) OR ( data visualization based algorithm ))
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1
Segmentation of Magnetic Resonance Brain Images Using Watershed Algorithm
Published 2004“…The watershed segmentation algorithm is a very powerful segmentation tool, but it also has difficulty in segmenting MR images due to noise and shading effect present. …”
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Thesis -
2
Enhancement of medical image compression algorithm in noisy WLANS transmission
Published 2018“…For image reconstruction,decoding steps based the developed quantization architecture are examined.The EICA is particularly useful where the size of the transmitted data needs to be reduced to minimize the image transmission time.For data compression with suitable and effective performance,enhanced independent components analysis (EICA) is proposed as an algorithm for compression and decompression of medical data.A comparative analysis is performed based on existing data compression techniques:discrete cosine transform (DCT), set partitioning in hierarchical trees (SPIHT),and Joint Photographic Experts Group (JPEG 2000).Three main modules,namely,compression segment (CS),transceiver segment (TRS),and outcome segment (OTS) modules,are developed to realize a fully computerized simulation tool for medical data compression with suitable and effective performance.To compress medical data using algorithms,CS module involves four different approaches which are DCT, SPIHT,JPEG 2000 and EICA.TRS module is processed by low-cost WLANs with low-bandwidth transmission.Finally,OTS is used for data decompression and visualization result.In terms of compression module,results show the benefits of applying EICA in medical data compression and transmission.While for system design,the developed system displays favorable outcomes in compressing and transmitting medical data.In conclusion,all three modules (CS,TRS,and OTS) are integrated to yield a computerized prototype named as Medical Data Simulation System(Medata-SIM) computerized system that includes medical data compression and transceiver for visualization to aid medical practitioners in carrying out rapid diagnoses.…”
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Thesis -
3
Detection of head position using chain code algorithm
Published 2007“…The main contribution of this thesis is it contributes an algorithm of head recognition and detecting which based on image segmentation, Prewitt edge detection and Chain Code algorithm. …”
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4
Detection of head position using chain code algorithm
Published 2007“…The main contribution of this thesis is it contributes an algorithm of head recognition and detecting which based on image segmentation, Prewitt edge detection and Chain Code algorithm. …”
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5
Sauvola Segmentation and Support Vector Machine-Salp Swarm Algorithm Approach for Identifying Nutrient Deficiencies in Citrus Reticulata Leaves
Published 2024“…The proposed method integrates colour and texture feature-based image analysis with machine learning algorithms for classification. …”
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6
Cabbage disease detection system using k-NN algorithm
Published 2022“…Finally, the KNN algorithm will be used to classify the disease based on sample nature and a cabbage disease data set. …”
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Academic Exercise -
7
Segmentation Assisted Object Distinction For Direct Volume Rendering
Published 2013“…Ray casting is a direct volume rendering technique for visualizing 3D arrays of sampled data. It has vital applications in medical and biological imaging. …”
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8
HEP-2 CELL IMAGES CLASSIFICATION BASED ON STATISTICAL TEXTURE ANALYSIS AND FUZZY LOGIC
Published 2014“…The algorithm gives a mean accuracy of 84% out of 125 test images.…”
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Final Year Project -
9
G2 parametric curve and surface fitting using beta-spline / Normi Abdul Hadi
Published 2015“…In beta-spline curve fitting, the control points are calculated using least squares method. The data points are first segmented in comer detection process, then the curve control points are calculated based on the comer points. …”
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10
3D multimodal cardiac data reconstruction using computerized tomographic angiography and x-ray angiography registration
Published 2016“…The second contribution is related to propose a fast and accurate method for 3D main coronary artery segmentation and labeling from CT Angiography based on the proposed Intersection Tracking method and Improved vesselness filter. …”
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11
Development of river water level estimation from surveillance cameras for flood monitoring system using deep learning techniques
Published 2022“…The findings demonstrated that these methods are handcrafted and the algorithms need to be changed when applying to different images, which is not practical to be used during flood disasters. …”
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12
Moving objects detection from UAV captured videos using trajectories of matched regional adjacency graphs
Published 2017“…Banking on this, region labeling assigns the labels of either background or foreground region based on a proposed graph coloring algorithm, which considers trajectory-based features. …”
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13
UNSUPERVISED SEGMENTATION OF CORAL REEF IMAGES BY USING COLOR AND TEXTURE FEATURES
Published 2022“…This thesis presents new methods to automate the segmentation of underwater coral reef images based on image processing techniques with the combination of color-texture features. …”
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14
Smartphone based wound shape measurement / Muhammad Azlan Othman
Published 2016“…This application can be improved its accuracy by implement a better segmentation method and algorithm.…”
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15
Breast Ultrasound Automated ROI Segmentation with Region Growing
Published 2015“…One of the simplest methods for image segmentation that is widely implemented in medical images is the region growing method. …”
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Conference or Workshop Item -
16
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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17
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“…Many methods are widely applied for image segmentation. …”
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Student Project -
18
Harmony Search-Based Fuzzy Clustering Algorithms For Image Segmentation
Published 2011“…Fuzzy clustering algorithms, which fall under unsupervised machine learning, are among the most successful methods for image segmentation. …”
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19
Fuzzy modeling of brain tissues in Bayesian segmentation of brain MR images
Published 2010“…Segmentation of brain MRI is the core part in plenty of medical image processing methods. …”
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Conference or Workshop Item -
20
Segmenting nodules of lung tomography image with level set algorithm and neural network
Published 2019“…The aim of this research is to develop an image segmentation algorithm for nodule detection in computed tomography (CT) image. …”
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