Search Results - (( image processing modified algorithm ) OR ( java application optimized algorithm ))
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1
Modified Contrast Limited Adaptive Histogram Equalization for high dynamic range images
Published 2012“…Lastly, the interpolation process was then applied to the entire image to remove the artificially induced tile border. …”
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Thesis -
2
Optimization of blood vessel detection in retina images using multithreading and native code for portable devices
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3
Performance evaluation of real-time multiprocessor scheduling algorithms
Published 2016“…These results suggests that optimal algorithms may turn to be non-optimal when practically implemented, unlike USG which reveals far less scheduling overhead and hence could be practically implemented in real-world applications. …”
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4
Route Optimization System
Published 2005“…After much research into the many algorithms available, and considering some, including Genetic Algorithm (GA), the author selected Dijkstra's Algorithm (DA). …”
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Final Year Project -
5
Microcrack Detection And Noise Reduction In Integrated Circuit Packages
Published 2018“…Images processed using modified Perona-Malik’s anisotropic diffusion method produces images with less noise compared to probability based thresholding method and histogram equalization method. …”
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Monograph -
6
A modified watershed segmentation algorithm for automated lung cancer lesion detection in CT scan images / Nur Najihah Sofia Mohd Marzuki
Published 2024“…Initially, the images undergo thresholding, image filtering, and enhancement processes to obtain clearer lung area images. …”
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Modified least trimmed squares method for face recognition / Nur Azimah Abdul Rahim
Published 2018“…It can be concluded that the modified algorithm decreases the biases, the variances and the mean squared errors of the LTS estimators. …”
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9
Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…Enhance hybrid genetic algorithm and particle Swarm optimization are developed to select the optimal device in either fog or cloud. …”
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Article -
10
Modified median filter for noise reduction in Ziehl-Neelsen sputum slide images
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Working Paper -
11
A Hybrid Active Contour and Artificial Bee Colony Algorithm for Segmenting Mixed-Meal Food Images (S/O: 13239)
Published 2020“…Active contour (snake) segmentation is extensively used in image processing and analysis applications particularly for identifying object boundaries. …”
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Monograph -
12
Investigation Of Edge Detection Techniques Based On Brain Tumor Images
Published 2018“…Based on the quantitative analysis, the new Canny algorithm successfully produced high quality image with less error. …”
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Monograph -
13
UNSUPERVISED SEGMENTATION OF CORAL REEF IMAGES BY USING COLOR AND TEXTURE FEATURES
Published 2022“…This thesis proposed a modified JSEG algorithm to solve the problem of over segmentation when applying it to underwater coral reef images.…”
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Thesis -
14
Calculation of blast area for acute leukemia blood cells images
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Working Paper -
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Development of a new algorithm for segmentation of flotation froth images
Published 2014“…The developed algorithm is validated using some froth images captured at different operating conditions, so the results indicate that the method can segment the mixture of big and small bubbles effectively.…”
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17
Ant colony optimization algorithm for load balancing in grid computing
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Monograph -
18
Development of photo forensics algorithm by detecting photoshop manipulation using error level analysis
Published 2017“…Results showed that our proposed algorithm could identify successfully the modified image as well as showing the exact location of modifications.…”
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19
Similarity measure and domain adaptation in multiple mixture model clustering: An application to image processing
Published 2017“…Two Gaussian mixture model based algorithms are proposed to effectively preserve image details and avoids image degradation. …”
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20
Brain lesion image segmentation using modified U-NET architecture
Published 2024“…The MUN has a dimension-fusion capability, in which the images are analyzed separately using 2D U-Net and 3D image downsampling processes, before being fused at two points during the downsampling processes. …”
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