Search Results - adapting regional differences ((generation algorithm) OR (detection algorithm))
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Face recognition for varying illumination and different optical zoom using a combination of binary and geometric features
Published 2020“…The proposed method consists of five main stages, starting with eye area detection using the developed Viola-Jones algorithm. …”
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Modified Contrast Limited Adaptive Histogram Equalization for high dynamic range images
Published 2012“…The generated probability map of the proposed tone mapped algorithm was then compared with the generated probability map of Ward tone mapping algorithm. …”
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Skin Colour Detection Based On An Adaptive Multi-Thresholding Technique
Published 2007“…The results show that when processing images of different people taken in different imaging conditions, the use of only one single threshold value is not adapted, and since the proposed method is capable of adaptively adjusting its threshold values and effectively separating skin colour regions from non skin ones, it is applicable to images with various conditions. …”
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Eye Diagram Modeling Of High-Speed Channels Using Artificial Neural Networks With An Improved Adaptive Sampling Algorithm
Published 2019“…The adaptive sampling technique is used for the data generation due to its flexibility where it generates samples according to the non-linearity of the regions in the design space. …”
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An adaptive face recognition under constrained environment for smartphone database
Published 2018“…In addition, this study aims to improve the performance of the face recognition method under the effect of different optical zooms by detecting the normalised facial feature region using the proposed facial feature region normalisation method. …”
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REGION-BASED ADAPTIVE DISTRIBUTED VIDEO CODING CODEC
Published 2011“…This work proposes partitioning the considered frame into many coding units (region) where each unit is encoded differently. This partitioning is, however, done at the decoder while generating the side-information and the region map is sent over to encoder at very little rate penalty. …”
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COMPUTER AIDED SYSTEM FOR BREAST CANCER DIAGNOSIS USING CURVELET TRANSFORM
Published 2011“…Subsequently, a region growing algorithm was used to locate the pectoral muscle and suppress it from the breast. …”
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An eigenspace approach for detecting multiple space-time disease clusters: Application to measles hotspots detection in khyber-pakhtunkhwa, Pakistan
Published 2018“…However, the main problem with the EigenSpot method is that it cannot be adapted to detect more than one spatiotemporal hotspot. …”
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An eigenspace approach for detecting multiple space-time disease clusters: Application to measles hotspots detection in khyber-pakhtunkhwa, Pakistan
Published 2018“…However, the main problem with the EigenSpot method is that it cannot be adapted to detect more than one spatiotemporal hotspot. …”
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An adaptive data replication and placement for efficient data storage of online social networks using two-tier multi-cloud environment
Published 2022“…Two algorithms are proposed to adapt the replication and placement of the data object according to its popularity in the OSN. …”
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Disparity map algorithm using hierarchical of bitwise pixel differences and segment-tree from stereo image
Published 2024“…This thesis presents a local-based stereo matching algorithm to increase the accuracy on complex regions. …”
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Adaptive step size of diagonally implicit block backward differentiation formulas for solving first and second order stiff ordinary differential equations with applications
Published 2020“…The convergence and stability properties also have been analyzed. ls for the method have been obtained and their stability regions have been discussed. The methods are implemented in fixed and adaptive step approaches. …”
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Development Of Stereo-Matching Algorithm Based On Adaptive Weighted Prediction
Published 2019“…Finally, this thesis present Outlier Detection, window size of 5 for Median Filter and fill-in invalid disparity to utilize the last stage of SMA to handle the accuracy of disparity map in regions of occluded, repetitive and low texture. …”
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14
Exploring Text Recognition Segmentation and Detection in Natural Scene Images
Published 2024“…This paper aims to provide a comprehensive review of the latest algorithms for text detection, segmentation, and recognition from natural scene images. …”
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Distortion-Free Digital Watermarking for Medical Images (Fundus) using Complex- Valued Neural Network
Published 2015“…The algorithm was appraised by Mean Squared Error MSE and Average Difference Indicator (ADI). …”
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Damageless Digital Watermarking Using Complex-valued Artificial Neural Network
Published 2010“…The algorithm was appraised by Mean Squared Error MSE and Average Difference Indicator (ADI). …”
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Cloudlet deployment and task offloading in mobile edge computing using variable-length whale and differential evolution optimization and analytical hierarchical process for decisio...
Published 2023“…Unlike the existing optimization algorithm, VL-WIDE features the capability of searching different lengths of solutions to cover the variable number of cloudlets for deployment. …”
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Boundary extraction of abnormality region in breast mammography image using active contours
Published 2022“…Thus, the aim of this study is to modify the PDSS model to extract the boundary of abnormality region in mammography images. The modification is made by considering three different image enhancement algorithms which are histogram equalization, histogram stretching and adaptive histogram equalization as the new fitting terms in the PDSS model and these results in three variants of modified PDSS models termed as PDSS1, PDSS2 and PDSS3 respectively. …”
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Block multistep methods for solving first order retarded and neutral delay differential equations
Published 2015“…There are two strategies that have been implemented in the numerical solutions which are the variable step size and the variable step size and variable order. In the developed algorithm, a Newton divided difference interpolation has been used in approximating a non-vanishing delay, whilst a new approach that is based on an adaptation of predictor-corrector scheme has been used to handle the vanishing delay problems. …”
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