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121
Improved self-calibration image enhancement algorithm based on attention mechanism and its application in maritime low-light images
Published 2025-06-01“…MethodAn attention mechanism is introduced to enhance the unevenly illuminated regions in low-light images to different degrees; an illumination adjustment module is constructed to secondary the intermediate outputs of the illumination learning process; a denoising module is introduced to ameliorate the problem of noise in dark regions being amplified with the enhancement of the brightness; and batch normalization (BN) is changed to batch channel normalization (BCN), which utilizes channel and batch dimensions to adaptively combine the normalized outputs. …”
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122
Metode Otsu dan Mathematical Morphology Dalam Segmentasi Region Karakter Plat Nomor Kendaraan
Published 2022-06-01“…This mathematical morphology method serves to read the character value of each pixel in the digital image which produces a comparison between the pixels in the image, so morphology techniques are appropriate when used to perform image processing in obtaining the region of the vehicle number plate. …”
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123
Cleaning images from impulse noise in a binary symmetrical channel
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124
New Approach to Dominant and Prominent Color Extraction in Images with a Wide Range of Hues
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125
Efficient Brain Tumor Segmentation for MRI Images Using YOLO-BT
Published 2025-06-01“…The D-LKA mechanism is introduced into the C3k2 structure, and the large convolution kernel is used to process complex image information to enhance the model’s ability to characterize different scales and irregular tumors. …”
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126
Delimitation of Landslide Areas in Optical Remote Sensing Images Across Regions via Deep Transfer Learning
Published 2024-01-01“…Mask R-CNN and U-Net are the two most popular deep learning frameworks for image segmentation in computer vision. In this study, we systematically compare and evaluate the performance and adaptability of the Mask R-CNN and the U-Net models for delimiting landslide areas in optical remote sensing images with various resolutions across regions using statistical metrics. …”
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128
Multi‐stage image inpainting using improved partial convolutions
Published 2024-10-01“…Abstract In recent years, deep learning models have dramatically influenced image inpainting. However, many existing studies still suffer from over‐smoothed or blurred textures when missing regions are large or contain rich visual details. …”
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129
BREAST CANCER CAD SYSTEM BY USING TRANSFER LEARNING AND ENHANCED ROI
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130
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131
A Machine Vision Method for Detecting Pineapple Fruit Mechanical Damage
Published 2025-05-01“…To address these challenges, this paper proposes a pineapple mechanical damage detection method based on machine vision, which segments the damaged region and calculates its area using multiple image processing algorithms. …”
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132
Identification of maize leaf diseases using red, green, blue-based images with convolutional neural network (CNN) and residual network (ResNet50) models
Published 2025-12-01“…The data were processed to train and compare two deep learning models, CNNs and ResNet50. …”
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133
Cancers and Benign Processes on 68Ga PSMA PET-CT Imaging Other than Prostate Cancer
Published 2022-06-01“…Background Imaging plays an important role in the evaluation of prostate cancer patients. …”
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135
Automation of image processing through ML algorithms of GRASS GIS using embedded Scikit-Learn library of Python
Published 2025-06-01“…A series of modules for raster image processing was applied using scripting language of GRASS GIS to process the remote sensing data. …”
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136
AFM Image Segmentation Based on Wave Growth of Local Maximum Regions with their Selection in Order of Decreasing Values
Published 2022-06-01“…Algorithms for growing regions without preliminary selection of the starting points of growth have the least computational complexity, but they segment the AFM image with a large error. …”
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137
Rip Current Identification in Optical Images Using Wavelet Transform
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139
Face Detection in a Video File Based on Matching Face Template
Published 2013-07-01“…The algorithm depends on the usage of technique to detect human face and select it in the video after segment it to set of color images, the technique includes two steps for image processing The first is for building a model for skin color, and an outline of the distribution of color and isolate areas of skin and non skin within the image, then identify areas of the skin. …”
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140
A modular and adaptable approach for automated morphological feature extraction in meibography images
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