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Segmentation of Malay syllables in connected digit speech using statistical approach
Published 2008“…Segmentation was done in time domain signal using statistical approaches namely the Brandt’s Generalized Likelihood Ratio (GLR) algorithm and Divergence algorithm. …”
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An evolutionary harmony search algorithm with dominant point detection for recognition-based segmentation of online Arabic text recognition
Published 2014“…At first, the pre-segmentation algorithm uses a modified dominant point detection algorithm to mark a minimal number of points which defines the text skeleton. …”
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Image enhancement and segmentation on simultaneous latent fingerprint detection
Published 2015“…Using the proposed algorithm, the segmented images were supplied as the input image for the matching process via a state art of matcher, VeriFinger SDK. …”
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Thesis -
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Sizes of Superpixels and their Effect on Interactive Segmentation
Published 2021“…Despite the fact that it is used as a pre-processing step in many interactive segmentation algorithms, less studies had been conducted to assess the effects of the size of superpixels required by interactive segmentation algorithms to achieve an optimal result. …”
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Sizes of Superpixels and their Effect on Interactive Segmentation
Published 2021“…Despite the fact that it is used as a pre-processing step in many interactive segmentation algorithms, less studies had been conducted to assess the effects of the size of superpixels required by interactive segmentation algorithms to achieve an optimal result. …”
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Proceedings -
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Performance comparison of clustering and thresholding algorithms for tuberculosis bacilli segmentation.
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Image segmentation for songket motif / Zati Iwani Zaharudin
Published 2007“…This paper will cover on comparison of three algorithms of image segmentation, determining which algorithm is more accurate in order to extract songket motifs and a prototype of image segmentation tool using the accurate algorithm determined. …”
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Adaptive Initial Contour and Partly-Normalization Algorithm for Iris Segmentation of Blurry Iris Images
Published 2022“…The findings revealed that the algorithm outperformed the other active contour-based approaches in computational time and segmentation accuracy. …”
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K-Means Clustering Approach for Intelligent Customer Segmentation Using Customer Purchase Behavior Data
Published 2022“…It also enables high exposure of the e-offer to gain attention of potential customers. In order to process the collected data and segment the customers, an learning algorithm is used which is known as K-Means clustering. …”
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Improving Brain MR Image Classification for Tumor Segmentation using Phase Congruency
Published 2018“…Features are then extracted from the segmented brain portion using discrete wavelet transforms. …”
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The evaluation of content-oriented XML document retrieval: a case study of FTMSK official letter / Hayati Abdul Rahman
Published 2006“…In order to perform efficient retrieval on documents, appropriate index structure or algorithm must be used which include the structural information. …”
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Research Reports -
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Enhanced Reinforcement Learning Model for Extraction of Objects in Complex Imaging
Published 2022“…The visualization and classification of the area of interest in any picture is therefore an important function in order to segment the image. We examine a variety of image segmentation algorithms and give our reinforcement learning algorithm that uses Deep Convolutional Neural Networks for the detection of irregular objects, which has been tested on four datasets. …”
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Color Image Segmentation Based on Bayesian Theorem for Mobile Robot Navigation
Published 2009“…Object extraction and object recognition are typical applications that use segmentation as a low level image processing. …”
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The evaluation of contentoriented XML document retrieval: a case study of official letter / Hayati Abd Rahman
Published 2006“…In order to perform efficient retrieval on documents, appropriate index structure or algorithm must be used which include the structural information. …”
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Research Reports -
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A comparative study of interactive segmentation with different number of strokes on complex images
Published 2020“…The most common user input type in interactive segmentation is using strokes. The different number of strokes are utilized in each different interactive segmentation algorithms. …”
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Tuberculosis bacteria counting using watershed segmentation technique
Published 2017“…The image processing algorithms used in this project involved Image Acquisition, Image Pre-processing and Image Segmentation. …”
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Non-invasive gliomas grading using swarm intelligence algorithm / Muhammad Harith Ramli
Published 2017“…Bat algorithm is chosen for the development of the prototype for segmentation and classification purpose. …”
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A Comparative Study of Interactive Segmentation with Different Number of Strokes on Complex Images
Published 2020“…The most common user input type in interactive segmentation is using strokes. The different number of strokes are utilized in each different interactive segmentation algorithms. …”
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