The local binary pattern (LBP) is a simple and efficient texture descriptor for image
processing. Recently, LBP has been introduced for feature extraction of hyperspectral …

Purpose: The aim of this study is to investigate the contribution of the 2-dimensional complex
Gabor transform to deep convolutional neural network architectures. The performance of the …

Recently, numerous image fusion algorithms have been proposed and widely used in the
biomedical field. However, most existing algorithms have low luminance, blurry edges and …

Plant pathogens are a prominent cause of reduced yields, resulting in decreased crop
yields. Scientists are striving to develop a mechanism for identifying plant ailments in order …

Local binary patterns (LBP) is a simple and efficient texture description operator, and the
improved “uniform” local binary patterns (uLBP) has been proved to be a powerful feature …

Bu çalışmada 2-boyutlu karmaşık Gabor filtreleme ve derin evrişimsel sinir ağları
kullanılarak yeni bir hiperspektral görüntü sınıflandırma yöntemi önerilmiştir. Derin öğrenilen …

Medical image fusion is the technique of integrating images from several medical imaging
modalities without causing any distortion or information loss. By preserving every feature in …

Astronomy is an observation-based discipline which can obtain the important information
about target stars by their spectrum. The two-dimensional fiber spectra contains abundant …

摘要为了提高运动模糊图像重建质量, 提出量子纠错比特编码算法. 首先量子按比特模2
加进行编码, 利用探测粒子态发现错误编码; 然后Pauli 矩阵的四个算子自检进行纠错; …