Qi et al., 2020 - Google Patents
Infrared image segmentation based on multi-information fused fuzzy clustering method for electrical equipmentQi et al., 2020
View PDF- Document ID
- 1718919020262026275
- Author
- Qi C
- Li Q
- Liu Y
- Ni J
- Ma R
- Xu Z
- Publication year
- Publication venue
- International Journal of Advanced Robotic Systems
External Links
Snippet
Serious noise pollution and background interference bring great difficulties to infrared image segmentation of electronic equipment. A novel infrared image segmentation method based on multi-information fused fuzzy clustering method is proposed in this article. Firstly, saliency …
- 238000003709 image segmentation 0 title abstract description 38
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6267—Classification techniques
- G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
- G06K9/46—Extraction of features or characteristics of the image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10024—Color image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30244—Information retrieval; Database structures therefor; File system structures therefor in image databases
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30004—Biomedical image processing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20112—Image segmentation details
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N99/00—Subject matter not provided for in other groups of this subclass
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computer systems based on biological models
- G06N3/02—Computer systems based on biological models using neural network models
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Jing et al. | Fabric defect detection using the improved YOLOv3 model | |
Zhang et al. | Identification of cucumber leaf diseases using deep learning and small sample size for agricultural Internet of Things | |
Zhang et al. | Pedestrian detection based on improved LeNet-5 convolutional neural network | |
Zhang | Melanoma segmentation based on deep learning | |
Khan et al. | Automated glaucoma detection from fundus images using wavelet-based denoising and machine learning | |
Chudzik et al. | Microaneurysm detection using deep learning and interleaved freezing | |
Zhou et al. | Combination of stationary wavelet transform and kernel support vector machines for pathological brain detection | |
Feng et al. | Supervoxel based weakly-supervised multi-level 3D CNNs for lung nodule detection and segmentation | |
Khan et al. | Internet of Medical Things–based decision system for automated classification of Alzheimer’s using three-dimensional views of magnetic resonance imaging scans | |
Qi et al. | Infrared image segmentation based on multi-information fused fuzzy clustering method for electrical equipment | |
Jian et al. | Saliency detection based on background seeds by object proposals and extended random walk | |
Yang et al. | A sea-sky-line detection method based on Gaussian mixture models and image texture features | |
Hu et al. | Learning spatiotemporal features of DSA using 3D CNN and BiConvGRU for ischemic moyamoya disease detection | |
Wang et al. | The application of series multi-pooling convolutional neural networks for medical image segmentation | |
Prasad et al. | ADTBO: Aquila driving training-based optimization with deep learning for skin cancer detection | |
Ding et al. | HI-MViT: A lightweight model for explainable skin disease classification based on modified MobileViT | |
Tang et al. | Real-time detection of moving objects in a video sequence by using data fusion algorithm | |
Feng et al. | Moving target recognition and tracking algorithm based on multi-source information perception | |
Xu et al. | Detection of ship targets in photoelectric images based on an improved recurrent attention convolutional neural network | |
Song et al. | Design of bio-inspired binocular UAV detection system based on improved STC algorithm of scale transformation and occlusion detection | |
Badshah et al. | Variational level set image segmentation model coupled with kernel distance function | |
Jan et al. | Automated patient localization in challenging hospital environments | |
Xiang et al. | Object tracking algorithm for unmanned surface vehicle based on improved mean-shift method | |
Li et al. | Investigation of infrared dim and small target detection algorithm based on the visual saliency feature | |
Chen et al. | Autoencoder-based patch learning for real-world image denoising |