Search Results - (( developing selective image algorithm ) OR ( java implication tree algorithm ))
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Improving Classification of Remotely Sensed Data Using Best Band Selection Index and Cluster Labelling Algorithms
Published 2005“…In addition, the best band selected for image classification is not necessarily the best for classification.A Best Band Selection Index (BBSI) algorithm was developed which is capable of selecting the best band combination for image visualization and supervised classification. …”
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Thesis -
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Melanoma skin cancer recognition using negative selection algorithm / Muhammad Rushamir Hakimi Ruslan
Published 2017“…This study proposed and focused on the development of a prototype that uses the Negative Selection Algorithm to classify the input image whether it is belongs to melanoma skin cancer or benign mole. …”
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A new standardisation and selection framework for real-time image dehazing algorithms from multi-foggy scenes based on fuzzy Delphi and hybrid multi-criteria decision analysis meth...
Published 2020“…Given the rapid development of dehazing image algorithms, selecting the optimal algorithm based on multiple criteria is crucial in determining the efficiency of an algorithm. …”
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Statistical Based Real-Time Selective Herbicide Weed Classifier
Published 2007“…The processing time for calculating population variance and sample variance for different samples is given. This algorithm is specifically developed to classify images into broad and narrow class for real-time selective herbicide application. …”
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Conference or Workshop Item -
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Image Processing Of Digital Mammograms For Breast Cancer Detection And Classification
Published 2018“…This study also aims to develop an algorithm that uses conversion of greyscale image into RGB as an approach to image processing for greyscale image. …”
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Natural image noise level estimation based on local statistics for blind noise reduction
Published 2018“…In this study, a patch-based estimation technique is used to estimate for noise level and applies it to the proposed blind image denoising algorithm. Our approach includes selecting low-rank sub-image with removing high-frequency components from the contaminated image. …”
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Doctor-patient remote consultation system with secure medical images
Published 2022“…The result was recorded including the run time and encrypted image size. The final selection of the algorithms depended on the encryption size and computation speed. …”
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Academic Exercise -
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Static image of hand gesture for numerical sign language recognition system using backfrofagation neural network / Erman Ibrahim
Published 2007“…The usefiil information can be used as a basic idea towards project methodology whereby a detail development process presented. Hand images are gathered from ten (10) selected persons using digital camera (2.0 mega pixels) and for pvirpose of the study frontal view is only hand area covered. …”
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10
Analysis of parabolic antennas for radio telescopes and the development of encryption methods for radio astronomical images
Published 2022“…Existing algorithms in image security were developed based on Latin squares, DNA sequence etc. …”
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Final Year Project / Dissertation / Thesis -
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Weed recognition based on erosion and dilation segmentation algorithm
Published 2009“…In this paper an algorithm is developed for automatic spray control system. …”
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Conference or Workshop Item -
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Fingerprint verification using clonal selection algorithm / Farah Syadiyah Shamsudin
Published 2017“…Therefore, the aim for this project is to develop a new approach in the fingerprint verification system by applying Clonal Selection Algorithm (CSA) that is known to be good in pattern matching and optimization of problems. …”
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Evaluation and Comparative Analysis of Feature Extraction Methods on Image Data to increase the Accuracy of Classification Algorithms
Published 2024“…Feature extraction is essential in classification, especially for data sources in the form of images. It involves identifying and isolating relevant information from the images that classification algorithms can use to distinguish between different fruit categories. …”
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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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Steganography based on utilizing more surrounding pixels
Published 2010“…The purpose of this study is to investigate the application of least significant bit insertion method (LSB) in concealing a definite amount of message bits inside a typical media such as an 8-bit gray-scale image and develop an alternative model structure selection algorithm based on considering more surrounding pixels in order to compute the best capacity value for each target pixel. …”
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Road condition assessment by OBIA and feature selection techniques using very high-resolution WorldView-2 imagery
Published 2016“…The chi-square algorithm outperformed SVM and RF techniques. The classification result based on CHI algorithm achieved an overall accuracy of 83.19% for the training image (first site). …”
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Image clustering comparison of two color segmentation techniques
Published 2010“…Finally, the algorithm found, which would solve the image segmentation problem.…”
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Enhancement of Single and Composite Images Based on Contourlet Transform Approach
Published 2009“…Numerous image enhancement algorithms have been developed for gray scale images despite their absence in many applications lately. …”
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Implication of image processing algorithm in remote sensing and GIS applications
Published 2011“…The traditional ways of solving the problems, have been replaced, by several new algorithms. The selection of an appropriate algorithm for any given chore is an imperative issue because different algorithms are based on the different concepts. …”
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Measuring the performance of image data by using RLE algorithm in lossless compression technique
Published 2015“…From this technique, it will be develop the high quality of data by reducing the size of image but give a high quality of image. …”
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Undergraduates Project Papers
