The proceedings contain 50 papers. The topics discussed include: image based 3D movement statistical pattern analysis;hybrid color-texture multivariate Gaussian model for skin detection;a machinevision based pistachi...
ISBN:
(纸本)9781538644041
The proceedings contain 50 papers. The topics discussed include: image based 3D movement statistical pattern analysis;hybrid color-texture multivariate Gaussian model for skin detection;a machinevision based pistachio sorting using transferred mid-level image representation of convolutional neural network;fiber optic specklegram sensor based on imageprocessing using LoG filter;merging clustering and classification results for whole book recognition;a dictionary learning based method for detection of diabetic retinopathy in color fundus images;non-rigid 3d shapes retrieval using a hybrid algorithm based on local descriptors;adaptive spatio-temporal context learning for visual target tracking;SVM classification of hyperspectral images using the combination of spectral bands and Moran's I features;4D implicit shape model for rotation invariant contour-based object detection;deep graph fusion for graph based label propagation;real-time human action recognition with extreme learning machine;integrated real-time object detection for self-driving vehicles;and automatic extraction of key-poses and key-joints for action recognition using 3d skeleton data.
The proceedings contain 42 papers. The topics discuss include: fuzzy-based algorithm for efficient vehicle license plate recognition in Iran’s transportation system;convergence of deep learning and edge computing usi...
ISBN:
(纸本)9798350350494
The proceedings contain 42 papers. The topics discuss include: fuzzy-based algorithm for efficient vehicle license plate recognition in Iran’s transportation system;convergence of deep learning and edge computing using model optimization;weighted features based classification of polarimetric SAR images;leveraging Swin transformer for local-to-global weakly supervised semantic segmentation;enhancing the generalization of synthetic image detection models through the exploration of features in deep detection models;NEM: nested ensemble model for scene recognition;developing a novel deep learning approach to diagnosis COVID-19 disease using lung CT-scan images;improved stereo depth estimation using smoothness and geometrical attention;and spectral-spatial anomaly detection in hyperspectral imagery based on dual-domain autoencoders.
The proceedings contain 48 papers. The topics discussed include: an empirical study of the performance of different optimizers in the deep neural networks;underwater image enhancement using a light convolutional neura...
ISBN:
(纸本)9781665412162
The proceedings contain 48 papers. The topics discussed include: an empirical study of the performance of different optimizers in the deep neural networks;underwater image enhancement using a light convolutional neural network and 2D histogram equalization;an augmented reality framework for eye muscle education;feature line based feature reduction of polarimetric-contextual feature cube for polarimetric sar classification;fast multi focus image fusion using determinant;computer-aided brain age estimation via ensemble learning of 3D convolutional neural networks;real-time facial expression recognition using facial landmarks and neural networks;a hybrid of inference and stacked classifiers to indoor scenes classification of RGB-D images;novel Gaussian mixture-based video coding for fixed background video streaming;compressed sensing MRI reconstruction using improved u-net based on deep generative adversarial networks;and towards fine-grained image classification with generative adversarial networks and facial landmark detection.
The proceedings contain 54 papers. The topics discussed include: beyond bag-of-words: an improved sparse topical coding for learning motion patterns in traffic scenes;histogram and average neighborhood structure of lo...
ISBN:
(纸本)9781467385398
The proceedings contain 54 papers. The topics discussed include: beyond bag-of-words: an improved sparse topical coding for learning motion patterns in traffic scenes;histogram and average neighborhood structure of local lacunarity and fractal features for noise-robust and rotation-invariant texture description;efficient feature extraction for highway traffic density classification;a manifold learning based feature extraction method with improved discriminative ability;improved regularization based blind image deconvolution using PSO algorithm for PMMW images application;Persian handwritten digit recognition by random forest and convolutional neural networks;early termination algorithm for CU size decision in HEVC intra coding;spectral-spatial hyperspectral classification with spatial filtering and minimum spanning forest;recovering intrinsic images: an evolutionary technique for entropy minimization;and human action recognition by Grassmann manifold learning.
The proceedings contain 76 papers. The topics discussed include: short-term forecasting of high-altitude wind fields along flight routes based on CAM-ConvLSTM 3DCNN;adaptive MSRCP-based color image enhancement method ...
ISBN:
(纸本)9798350390254
The proceedings contain 76 papers. The topics discussed include: short-term forecasting of high-altitude wind fields along flight routes based on CAM-ConvLSTM 3DCNN;adaptive MSRCP-based color image enhancement method using SSA;multi-scale hybrid attention integrated with vision transformers for enhanced image segmentation;Att-CapsViT: attention-based CapsNet and vision transformer hybrid network for handwriting Chinese characters recognition;high-accuracy classification of eye diseases with pre-trained deep neural networks;abnormal clustering and cross slicing transformer for insect fine-grained image classification;Mura defect detection based on fast adaptive bidimensional empirical mode decomposition;and lightweight super-resolution reconstruction combining feature distillation and attention mechanism.
The proceedings contain 44 papers. The topics discussed include: image fusion algorithm based on frequency enhancement and shared tensor dictionary learning;research and comparison of ceramic image generation through ...
ISBN:
(纸本)9798331543037
The proceedings contain 44 papers. The topics discussed include: image fusion algorithm based on frequency enhancement and shared tensor dictionary learning;research and comparison of ceramic image generation through fine-tuning stable diffusion;an attention module enhanced deep convolutional neural network for automatic hippocampus segmentation using MRI images;a few-shot learning based environmental microorganism image classification method;model pruning for infrared-visible image fusion;dual-branch and multi-scale information complementary network for hard exudates segmentation in color fundus images;an efficient lightweight network for breast cancer segmentation;and entity-enhanced question representation for knowledge-based visual question answering.
The proceedings contain 50 papers. The topics discussed include: deformable convolution based road scene semantic segmentation of fisheye images in autonomous driving;unlocking immersive driving experiences with autom...
ISBN:
(纸本)9781837242672
The proceedings contain 50 papers. The topics discussed include: deformable convolution based road scene semantic segmentation of fisheye images in autonomous driving;unlocking immersive driving experiences with automotive sensor-powered extended reality (XR);enhanced parking perception by multi-task fisheye cross-view transformers;improving diagnostic trust: an explainable deep learning framework for genitourinary cancer prediction;subgraph clustering and atom learning for improved image classification;assessment of skin type measurement in image datasets;a framework for pupil tracking with event cameras;handling occlusions via occlusion-aware labels;and a segmentation method for synthetically-trained pose-based fingerspelling recognition models.
This paper presents a novel approach to license plate recognition in Iran's transportation system by employing a fuzzy-based algorithm. The proposed method involves a four-stage process, including the conversion o...
详细信息
ISBN:
(纸本)9798350350494;9798350350500
This paper presents a novel approach to license plate recognition in Iran's transportation system by employing a fuzzy-based algorithm. The proposed method involves a four-stage process, including the conversion of RGB images to grayscale, fuzzy thresholding using a Fuzzy Inference System (FIS), character segmentation, and application of fuzzy clustering for license plate number detection. Simulation results demonstrate the effectiveness of the proposed method in achieving rapid and accurate license plate number detection.
The proceedings contain 19 papers. The topics discussed include: research on image segmentation algorithm for cellular cortical proteins;a-beta staining segmentation and quantification using U-Net-based approach;a rol...
ISBN:
(纸本)9798400708473
The proceedings contain 19 papers. The topics discussed include: research on image segmentation algorithm for cellular cortical proteins;a-beta staining segmentation and quantification using U-Net-based approach;a rolling ball segmentation and pairing algorithm based on cell fluorescence microscopic stack;gesture detection using an infrared camera;imaging technology in high-speed dynamic scene and its application in the dynamic detection on pantograph-catenary interaction;a sorting method of irregular feature point array in camera calibration;real-time predictability analysis and enhancement of deep-learning-based object tracking;dual-channel reliable breast ultrasound image classification based on explainable attribution and uncertainty quantification;and unsupervised multi-source domain adaptation for pedestrian re-identification: a study in noise-resilient learning.
No-reference image Quality Assessment (NR-IQA) attained acceptable results through deep learning models. However, the overfitting, caused by complex deep models and insufficient labeled datasets, has become a primary ...
详细信息
ISBN:
(纸本)9798350350494;9798350350500
No-reference image Quality Assessment (NR-IQA) attained acceptable results through deep learning models. However, the overfitting, caused by complex deep models and insufficient labeled datasets, has become a primary challenge for the research community. Addressing this issue, various strategies such as data augmentation, transfer learning, and weakly supervised learning have been investigated. This paper introduces an approach, suggesting the use of a probability distribution instead of a rigid target to mitigate overconfidence issues. The proposed label uncertainty can provide acceptable results, especially in terms of cross-dataset validation.
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