[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Xu et al., 2024 - Google Patents

Sonar image segmentation using a multi-spatial information constraint fuzzy C-means clustering algorithm based on KL divergence

Xu et al., 2024

Document ID
12809714523341908690
Author
Xu H
Li Y
Zhang M
Tong P
Publication year
Publication venue
International Journal of Machine Learning and Cybernetics

External Links

Snippet

Sonar image segmentation is an important task in the field of underwater detection, and the realization of accurate segmentation of targets and shadows is the key to subsequent image processing. However, due to the influence of various marine environments, the formation of …
Continue reading at link.springer.com (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30004Biomedical image processing
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10024Color image
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G06K9/6232Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
    • G06K9/6247Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20048Transform domain processing
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46Extraction of features or characteristics of the image
    • G06K9/4604Detecting partial patterns, e.g. edges or contours, or configurations, e.g. loops, corners, strokes, intersections
    • G06K9/4609Detecting partial patterns, e.g. edges or contours, or configurations, e.g. loops, corners, strokes, intersections by matching or filtering
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20112Image segmentation details
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6267Classification techniques
    • G06K9/6268Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/40Analysis of texture
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • G06T7/0012Biomedical image inspection
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
    • G06T5/20Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image by the use of local operators
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
    • G06T5/007Dynamic range modification
    • G06T5/008Local, e.g. shadow enhancement
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computer systems based on biological models
    • G06N3/02Computer systems based on biological models using neural network models
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations

Similar Documents

Publication Publication Date Title
Zhang et al. Brain tumor segmentation based on hybrid clustering and morphological operations
Miao et al. Local segmentation of images using an improved fuzzy C-means clustering algorithm based on self-adaptive dictionary learning
Sharma et al. A review on image segmentation with its clustering techniques
US5933524A (en) Method for segmentation of digital color images
CN108154519A (en) Dividing method, device and the storage medium of eye fundus image medium vessels
Zhang et al. Geometric loss for deep multiple sclerosis lesion segmentation
Babu et al. Performance analysis of CNN fusion based brain tumour detection using Chan-Vese and level set segmentation algorithms
Song et al. Brain tissue segmentation and bias field correction of MR image based on spatially coherent FCM with nonlocal constraints
Zhang et al. Multi-task dictionary learning based convolutional neural network for computer aided diagnosis with longitudinal images
Annavarapu et al. An adaptive watershed segmentation based medical image denoising using deep convolutional neural networks
Wu et al. Full-parameter adaptive fuzzy clustering for noise image segmentation based on non-local and local spatial information
Lohit et al. Modified total Bregman divergence driven picture fuzzy clustering with local information for brain MRI image segmentation
CN117196963A (en) Point cloud denoising method based on noise reduction self-encoder
Bandyopadhyay et al. A hybrid fuzzy filtering-fuzzy thresholding technique for region of interest detection in noisy images
CN115205308A (en) Fundus image blood vessel segmentation method based on linear filtering and deep learning
Sivanandan et al. A new CNN architecture for efficient classification of ultrasound breast tumor images with activation map clustering based prediction validation
CN114240990A (en) SAR image point target segmentation method
CN113962968A (en) Multi-source mixed interference radar image target detection system oriented to complex electromagnetic environment
Cheng et al. Multi-attention mechanism medical image segmentation combined with word embedding technology
CN113781465A (en) Grad-CAM-based medical image segmentation model visualization method
Li et al. A level set image segmentation method based on a cloud model as the priori contour
Xu et al. Sonar image segmentation using a multi-spatial information constraint fuzzy C-means clustering algorithm based on KL divergence
Xu et al. Filtering level-set model based on saliency and gradient information for sonar image segmentation
Narasimha et al. Integrating Taylor–Krill herd‐based SVM to fuzzy‐based adaptive filter for medical image denoising
Wang et al. Sonar Objective Detection Based on Dilated Separable Densely Connected CNNs and Quantum‐Behaved PSO Algorithm