Search Results - (( developing simulation based algorithm ) OR ( image segmentation method algorithm ))
Search alternatives:
- developing simulation »
- image segmentation »
- simulation based »
- method algorithm »
-
1
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. …”
Get full text
Get full text
Thesis -
2
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. …”
Get full text
Get full text
Thesis -
3
Segmentation of Sinus Images for Grading of Severity of Sinusitis
Published 2009“…This project attempts to develop a computerize system by developing algorithm for the segmentation of sinus images for the detection of sinusitis. …”
Get full text
Get full text
Book Section -
4
Feature identification in a real surface metrology analysis by means of Double Iteration Sobel (DIS) / Ainaa Farhanah Mohd Razali
Published 2022“…In this case, the algorithm of the DIS operator is embedded with the Marker-based Watershed segmentation as the assistance of Marker-based Watershed Segmentation is effective in extracting the individual significant edges features produced by DIS operator. …”
Get full text
Get full text
Thesis -
5
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.…”
Get full text
Get full text
Get full text
Thesis -
6
Unsupervised image segmentation for fish egg images
Published 2017“…For the segmentation technique, the proposed method is based on gray level image for computational simplicity. …”
Get full text
Get full text
Student Project -
7
A generalized laser simulator algorithm for optimal path planning in constraints environment
Published 2022“…This research focuses on developing a novel path planning algorithm, called Generalized Laser Simulator (GLS), to solve the path planning problem of mobile robots in a constrained environment. …”
Get full text
Thesis -
8
Photogrammetric unmanned aerial vehicle for digital terrain model estimation under oil palm tree canopy area / Suzanah Abdullah
Published 2021“…The experiments were performed in both simulation and real site studies based on four algorithms namely inverse watershed segmentation (IWS), object-based image analysis (OBIA), watershed segmentation (WS) and seed generation (SG). …”
Get full text
Get full text
Thesis -
9
Road lane detection using h-maxima and improved hough transform
Published 2012“…In near field of view, Hough transform has been applied to detect lane markers after image noise filtering. The proposed method has been developed using image processing programming language platform and was tested on collected video data. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
10
A Novel Hybrid Deep Learning Model Based on Simulated Annealing and Cuckoo Search Algorithms for Automatic Radiomics-Based COVID-19 Diagnosis
Published 2025“…To further enhance COVID-19 lesion estimation, novel optimization strategies, including a hybrid simulated annealing-cuckoo search (SA-CS) algorithm, are introduced alongside the original SA method. …”
Get full text
Get full text
Article -
11
Vision-based autonomous vehicle driving control system
Published 2005“…The important contribution of this study is the development of vehicle lane detection and tracking algorithm based on colour cue segmentation, Canny edge detection and Hough transform. …”
Get full text
Get full text
Thesis -
12
Deep learning-based item classification for retail automation
Published 2025“…Real-time processing was achieved through the integration of object detection algorithms like YOLO and image segmentation techniques. …”
Get full text
Get full text
Final Year Project / Dissertation / Thesis -
13
Vision-Based Autonomous Vehicle Driving Control System
Published 2005“…The important contribution of this study is the development of vehicle lane detection and tracking algorithm based on colour cue segmentation, Canny edge detection and Hough transform. …”
Get full text
Get full text
Thesis -
14
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. …”
Get full text
Get full text
Thesis -
15
Testing the minimal bounded space method on vision-based drone navigation / Yap Seng Kuang
Published 2021“…The space-based method used is called the Minimum Bounded Space (MBS). …”
Get full text
Get full text
Get full text
Thesis -
16
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. …”
Get full text
Thesis -
17
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. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
18
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. …”
Get full text
Get full text
Get full text
Thesis -
19
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. …”
Get full text
Get full text
Student Project -
20
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. …”
Get full text
Get full text
Thesis
