Search Results - ((good processing) OR (((query processing) OR (((pre processing) OR (image processing))))))
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Content based images retrieval (CBIR) by using colour based properties query / Mohd Zuhairi Ghazali
Published 2013“…In pre-processing stage for the proposed CBIR system, features of images data that stored in the image database have been extracted and formed in the features vector and will be stored in feature database.…”
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Thesis -
2
PS+Pre/Post: a novel structure and access mechanism for wireless XML stream supporting twig pattern queries
Published 2014“…However, existing indexing methods cannot process twig pattern XML queries. In this paper, we propose a novel structure for streaming XML data called PS+Pre/Post by integrating the path summary technique and the pre/post labeling scheme. …”
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Investigation of evolutionary multi-objective algorithms in solving view selection problem / Seyed Hamid Talebian
Published 2013“…One of the ways for resolving this problem is by using pre-computed results of queries. In this approach, results of possible queries are computed in advance and whenever a user submits a query, instead of referring to the main table with enormous numbers of records, a proper pre-computed result is fetched and used for answering the query. …”
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4
Information fusion of text and visual features for multi-modality medical information retrieval / Hizmawati Madzin
Published 2013“…Multi-modality Medical Information Retrieval System (M3IRS) text-based framework consists of four main components which are document pre-processor, query processor, retrieval process and ranking strategies. …”
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5
User interestingness for pre-fetching in mobile environment
Published 2011“…Due to this complication, new method is introduced where it requires data mining technique to improve the pre-fetching process. Previously, the pre-fetched data item is filtered using an data driven measurement for data interestingness and the data generated are based on the structure of a query pattern and quantified using statistical methods. …”
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6
Image pre-processing algorithm for Ficus deltoidea Jack (Moraceae) varietal recognition: a repeated perpendicular line scanning approach
Published 2018“…Some of researchers have developed the image pre-processing algorithm to remove petiole section. …”
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Deep learning approach with image noise reduction to determine planting density and defected paddy seedlings
Published 2022“…We then continued our study to find the best method for paddy seedlings density classification task. All the pre-trained models showed comparable accuracy with the Base Model when trained to classify a new object with hyperparameter tuning and our proposed image pre-processing which reduces noise and enhanced input images features. …”
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9
Identification of Adolescent Idiopathic Scoliosis using image processing / Aisyah Afifah Mohd Hanip
Published 2020“…The pre-processing technique used are converting to grayscale image, implementing sharpening filter and median filter. …”
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10
Colour-Texture Fusion In Image Segmentation For Content-Based Image Retrieval Systems
Published 2007“…Image segmentation is an important pre-processing step which has a great influence on the performance of CBIR systems. …”
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11
Modified least trimmed squares method for face recognition / Nur Azimah Abdul Rahim
Published 2018“…The query images were contaminated with salt and pepper noise and the recognition rates was measured when the contaminated images were used as a query image in the context of linear regression. …”
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12
Pavement surface distress detection using digital image processing techniques Abdulsalam Basher Alayat
Published 2023“…Secondly, developing an image pre-processing operation to eliminate environmental interference as much as possible and subsequently use the image thresholding method to separate the pixels within the image into two groups to find the thresholding value for image binarization. …”
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K Nearest Neighbor Joins And Mapreduce Process Enforcement For The Cluster Of Data Sets In Bigdata
Published 2018“…K Nearest Neighbor Joins (KNN join) are regarded as highly primitive and expensive operations in the data mining.The efficient use of KNN join has proven good results in finding the objects from two data sets prevailed in the huge databases.This has been achieved with the combination of K-Nearest Neighbor query and join operation to find the distinct objects from different data sets.MapReduce is a newly introduced program with the combination of Map Procedure method and Reduce Method widely used in BigData.MapReduce is enriched with parallel distributed algorithm to find the results on a cluster of data sets in BigData.In this paper,the combination of KNN join and MapReduce methods are utilized on the cluster of data sets in BigData for knowledge discovery.Exploring the pinpoint data from huge data sets stored in Big Data demands the distributed large scale data processing.The present research paper is focusing on generic steps for KNN joins exploration operations on MapReduce.The operations of KNN Join are targeted to perform the data partitioning and data pre-processing and necessary calculations.By utilizing the combination of KNN joins with MapReduce methods on BigData data sets will demonstrate a solution for complex computational analysis. …”
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FEATURES EXTRACTION OF HEP-2 IMMUNOFLUORESCENCE PATTERNS BASED ON TEXTURE AND REGION OF INTEREST TECHNIQUES
Published 2013“…Only clear and good input image will produce good results. Image segmentation will be done after pre-processing completed to further enhance the image according to its edge or region to be used for the input image. …”
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Pre School selection system using Analytic Hierarchy Process (AHP): Implementation and Usability Study
Published 2017“…The results of the questionnaire were used in the system development process in which the Analytic Hierarchy Process (AHP) technique is integrated. …”
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Improved Colour Visualization in Pap Smear Images Based on HSV Channel Analysis
Published 2025“…To preserve the colour, only the colour images' brightness (V) channel will go through the pre-processing. …”
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Automatic red blood cell counting based on particle area
Published 2015“…The RBC images will be pre-processed in early stage using morphological operations and thresholding to obtain the images with good quality. …”
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Lab image and field image contrast quality differentiation
Published 2020“…Image processing performance can be improved with the process of resizing the original input image to one standard size. …”
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The Design of Pre-Processing Multidimensional Data Based on Component Analysis
Published 2011“…RapidMiner is used for data pre-processing using FastICA algorithm. Kernel K-mean is used to cluster the pre-processed data and Expectation Maximization (EM) is used to model. …”
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Analysis of automated G-clip machine processes and substation process with simulation by using CAD software
Published 2012“…It emphasizes on the analysis of process and additional substation process to overcomes current machining problem. …”
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