Search Results - ((pre processing) OR (image processing))
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Chain coding and pre processing stages of handwritten character image file
Published 2010“…This paper discusses in detail some of the algorithms used in the pre-processing stages of an offline handwritten character image file. …”
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Pre-processing importance for extracting contours from noisy echocardiographic images
Published 2009“…By pre-processing the images, the unclear edges are avoided, and we can get an accurate detection of both heart boundary and movement of heart valves.…”
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A Hybridized Pre-Processing Method for Detecting Tuberculosis using Deep Learning
Published 2021“…In this research, the experimental design is to apply augmentation and segmentation to CXR images as pre-processing and use a pretrained CNN model to classify the pre-processed images. …”
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Pre-processing methods for vehicle lane detection / Muhammad Naim Mazani ... [et al.]
Published 2020“…Thus, determining the right techniques for pre-processing such data would be a challenge. The objectives of this study are to pre-process the scanned images and apply the image recognition algorithm for lane detection. …”
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Using photographic images as an alternative method to enhance learning process in pre-school level / Farihan Zaharia...[et.al]
Published 2016“…Researcher interested to study about the effectiveness using image photography to enhance learning process in pre-school level. …”
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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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PRE AND POST PROCESSING APPROACHES FOR EFFICIENT FEATURE MATCHING PROCESS
Published 2014“…Based on the evaluationresults, a novel pre-processing method to equalize both images intensity with respect to each other while maintaining the image content is proposed.…”
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Detection of Tuberculosis Based on Hybridized Pre-Processing Deep Learning Method
Published 2023“…The hypothesis is that this approach will result in more accurate detection of TB in CXR images. To achieve this, this research used augmentation and segmentation techniques to pre-process the CXR images before feeding them into a pre-trained CNN model for classification. …”
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Modified Piecewise Linear Mapping Contrast Enhancement And Local Otsu Segmentation Methods For Hep-2 Cell Images
Published 2019“…This dissertation presents a Modified Piecewise Linear Mapping and Local Otsu Segmentation as a pre-processing and segmentation approach for the HEp-2 images. …”
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Image Processing Of Digital Mammograms For Breast Cancer Detection And Classification
Published 2018“…The algorithms to be developed will consist of pre-processing, enhancement and image segmentation. …”
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Contour extraction of echocardiographic images based on pre-processing
Published 2011“…To perform that, we combine many pre-processing techniques (filtering, morphological operations, and contrast adjustment) to avoid unclear edges and enhance low contrast of echocardiograph images, after implementing these techniques we can get legible detection for heart boundaries and valves movement by traditional edge detection methods.…”
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Partial Pose Estimation Of Rigid Object System Using Cad Database
Published 2017“…Image pre-processing consists of image rescaling, image segmentation and image registration. …”
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Brain Mri Images Quality Enhancement Using Image Processing Techniques
Published 2023“…The first step in image pre-processing is filtration with median and mean filters. …”
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Digital image processing techniques for pre-diagnosis of psoriasis skin diseases / Rozita Jailani
Published 2004“…Four color analysis techniques were applied; normalization techniques, Gaussian parameters', color spaces and pre-processing techniques. These color analyses produce a color model to distinguish the psoriasis skin disease. …”
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Contrast modification for pre-enhancement process in multicontrast rubeosis iridis images
Published 2023“…In this paper, the pre-enhancement process was proposed to improve the quality of iris images for rubeosis iridis disease by separating the image into three groups; low, medium and high contrast. …”
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Deep learning for an automated image-based stem cell classification
Published 2023“…These images are then pre-processed before being fed into CNN pre-trained models. …”
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Investigation And Development Of Convolutional Neural Network Based Image Splicing Detection
Published 2017“…At the end of this study, it is observed that by using the proposed architecture, CNN can be used for image splicing detection without any pre-processing.…”
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Bass Fish Measurement System (Bass)
Published 2023“…The image acquisition and image pre-processing consist of pre-treatment, segmentation, and feature extraction stages. …”
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An intelligent adjustable spanner for automated engagement with multi-diameter bolts/nuts during tightening/loosening process using vision system and fuzzy logic
Published 2018“…It can be generally divided into three different stages, namely image pre-processing, image processing, and image post-processing. …”
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