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Texture Image Retrieval Based on Log-Gabor Features [chapter]

Rodrigo Nava, Boris Escalante-Ramírez, Gabriel Cristóbal
2012 Lecture Notes in Computer Science  
information from images for retrieval of image data.  ...  To address this issue, we propose a simple yet efficient image retrieval approach based on a novel log-Gabor filter scheme.  ...  Nava gives a special thank to Consejo Nacional de Ciencia y Tecnología for the doctoral scholarship 167161.  ... 
doi:10.1007/978-3-642-33275-3_51 fatcat:avchmnlurvbrxpvaeg43bnm5mq

MIC_Locator: a novel image-based protein subcellular location multi-label prediction model based on multi-scale monogenic signal representation and intensity encoding strategy

Fan Yang, Yang Liu, Yanbin Wang, Zhijian Yin, Zhen Yang
2019 BMC Bioinformatics  
Secondly, Fourier transformation, Riesz transformation, Log-Gabor filter and intensity coding strategy are employed to obtain frequency feature based on three components of monogenic signal with different  ...  Our results demonstrate that the frequency feature is more beneficial for improving the performance of model compared to features extracted from spatial domain, and the MIC_Locator proposed in this paper  ...  Wen Chen from Harvard Medical School for examining our manuscript carefully with the grammars and typos corrected.  ... 
doi:10.1186/s12859-019-3136-3 pmid:31655541 pmcid:PMC6815465 fatcat:dibgkygnsbdyfh56dt4dr32rgq

Survey of Computer Vision and Machine Learning in Gastrointestinal Endoscopy [article]

Anant S. Vemuri
2019 arXiv   pre-print
[320] , proposes using GLCM, colour histogram, GIST and Gabor, wavelet, Maximum response (MR8), Leung-Malik (LM) filter bank, and the Schmid Filter banks responses as feature descriptors for image retrieval  ...  In [50] , an HSV colour space feature histogram was used along with texture features extracted using the Contourlet transform and the Log Gabor filter, which were used to train an SVM classifier for UD  ... 
arXiv:1904.13307v1 fatcat:u66me6hx6bfvfkkalqyodf7tmq

An Intelligent Multi-resolution and Co-occuring local pattern generator for Image Retrieval

Shikha Bhardwaj, Gitanjali Pandove, Pawan Kumar Dahiya
2018 EAI Endorsed Transactions on Scalable Information Systems  
Two texture descriptors namely Gray level Co-occurence matrix (GLCM) and Discrete wavelet transform (DWT) have been utilized here for the formation of a hybrid texture descriptor, denoted as (Co-DGLCM)  ...  Content-based image retrieval (CBIR) is a methodology used to search indistinguishable images across any vast repository.  ...  [9] described the results of some local texture extraction methodologies on Log Gabor filter response. Log Gabor filter is stated to be better in performance as compared to Gabor filter.  ... 
doi:10.4108/eai.10-6-2019.159344 fatcat:vyzpzdc5nndwbicgvcztqe66gq

A content-based image retrieval approach based on document queries [chapter]

M. Ilie
2015 Emerging Trends in Image Processing, Computer Vision and Pattern Recognition  
This paper presents a new content based image retrieval (CBIR) approach, which makes use of descriptors originating in the local and global search spaces.  ...  The algorithms extracts four colour descriptors, one texture descriptor and two local descriptors which are used to train the corresponding classifiers, based on neural networks.  ...  (wavelets [4] , Gabor and ICA filters);  model based (MRFs [5] , fractals).  ... 
doi:10.1016/b978-0-12-802045-6.00020-x fatcat:uqmhroya35dwlegobdnlxiuply

Automatic Plant Identification: Is Shape the Key Feature?

Nursuriati Jamil, Nuril Aslina Che Hussin, Sharifalillah Nordin, Khalil Awang
2015 Procedia Computer Science  
Intraand inter-class identification are conducted using 455 herbal medicinal plant leaves, with 70% allocated for training and 30% for testing dataset.  ...  Intra-class analysis showed that fusion of texture and shape surpassed fusion of texture, shape and colour.  ...  Authors Colour Texture Shape Feature Descriptors Bama et al., 2011 Scale-invariant feature transform, Log-Gabor filter Kadir et al., 2011 Colour moment, Zernike moments, Gray-level occurrence  ... 
doi:10.1016/j.procs.2015.12.287 fatcat:t7ynqbwxjjgkzhjb3zwcuvyjf4

Texture Synthesis Guided Deep Hashing for Texture Image Retrieval [article]

Ayan Kumar Bhunia, Perla Sai Raj Kishore, Pranay Mukherjee, Abhirup Das, Partha Pratim Roy
2019 arXiv   pre-print
With the large-scale explosion of images and videos over the internet, efficient hashing methods have been developed to facilitate memory and time efficient retrieval of similar images.  ...  However, none of the existing works uses hashing to address texture image retrieval mostly because of the lack of sufficiently large texture image databases.  ...  Earlier methods on texture image retrieval relied on handcrafted features like Discrete wavelet transform, Gabor features [26] , local binary Figure 1 : A 128 × 128 texture patch is passed as input to  ... 
arXiv:1811.01401v4 fatcat:vicohipj5zbhdnrcmua5r42cdu

Boundary Detection Using F-Measure-, Filter- and Feature- (F3) Boost [chapter]

Iasonas Kokkinos
2010 Lecture Notes in Computer Science  
(d) We extract discriminative features from appearance descriptors that are computed densely over the image. We demonstrate the performance of our approach on the Berkeley Segmentation Benchmark.  ...  In this work we propose a boosting-based approach to boundary detection that advances the current state-of-the-art.  ...  We also use Gabor filters for the L-component to capture texture information. Both Gabor and Gaussian filters are implemented using recursive (IIR) filtering to speedup descriptor computation.  ... 
doi:10.1007/978-3-642-15552-9_47 fatcat:ntj6w7b3vfe45b7c4awk4a25uy

PCNet: A Structure Similarity Enhancement Method for Multispectral and Multimodal Image Registration [article]

Si-Yuan Cao, Hui-Liang Shen, Lun Luo, Shu-Jie Chen, Chunguang Li
2021 arXiv   pre-print
The network contains three trainable layers accompany with the modified learnable Gabor kernels according to the phase congruency theory.  ...  As the acquired multispectral and multimodal data are generally misaligned due to the alternation or movement of the image device, the image registration procedure is necessary.  ...  orientations of the log-Gabor filter responses.  ... 
arXiv:2106.05124v2 fatcat:rc6nzjkh4ffbxhs3pzsqoayfsu

Ocular biometrics: A survey of modalities and fusion approaches

Ishan Nigam, Mayank Vatsa, Richa Singh
2015 Information Fusion  
We also propose a path forward to advance the research on ocular recognition by (i) improving the sensing technology, (ii) heterogeneous recognition for addressing interoperability, (iii) utilizing advanced  ...  machine learning algorithms for better representation and classification, (iv) developing algorithms for ocular recognition at a distance, (v) using multimodal ocular biometrics for recognition, and (  ...  Hugo Proença for their insightful comments.  ... 
doi:10.1016/j.inffus.2015.03.005 fatcat:ph2katoyuzdylamlesnt7vzbay

Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-Tuning

Weifeng Ge, Yizhou Yu
2017 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)  
Specifically, we compute descriptors from linear or nonlinear filter bank responses on training images from both tasks, and use such descriptors to search for a desired subset of training samples for the  ...  In this paper, we introduce a deep transfer learning scheme, called selective joint fine-tuning, for improving the performance of deep learning tasks with insufficient training data.  ...  Gabor filters are commonly used for feature description, especially texture description [28] . Gabor filter responses are powerful lowlevel features for image and pattern analysis.  ... 
doi:10.1109/cvpr.2017.9 dblp:conf/cvpr/GeY17 fatcat:d4xgjsvatzhu7a2gd6kqsyor6a

Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-tuning [article]

Weifeng Ge, Yizhou Yu
2017 arXiv   pre-print
Specifically, we compute descriptors from linear or nonlinear filter bank responses on training images from both tasks, and use such descriptors to search for a desired subset of training samples for the  ...  In this paper, we introduce a source-target selective joint fine-tuning scheme for improving the performance of deep learning tasks with insufficient training data.  ...  Gabor filters are commonly used for feature description, especially texture description [28] . Gabor filter responses are powerful lowlevel features for image and pattern analysis.  ... 
arXiv:1702.08690v2 fatcat:7a4vp3hjzjahdaynjjhb5vr4cy

An evaluation of image descriptors combined with clinical data for breast cancer diagnosis

Daniel C. Moura, Miguel A. Guevara López
2013 International Journal of Computer Assisted Radiology and Surgery  
CADx performance was compared for several image features, clinical descriptors (e.g. age and radiologist's observations), and combinations of both kinds of data.  ...  Method HGD and 11 conventional image descriptors were evaluated using cases from two publicly available mammography data sets, the digital database for screening mammography (DDSM) and the breast cancer  ...  Ethical standards All experiments were performed with public data from previous studies, and therefore, no ethical violations may result from the experiments reported here.  ... 
doi:10.1007/s11548-013-0838-2 pmid:23580025 fatcat:jgjcprqrtfdfhk33gpdm3dzlli

Salient Bag of Feature for Skin Lesion Recognition

Pawan Kumar Upadhyay
2019 International Journal of Performability Engineering  
With the rapidly increasing incidence of various types of skin cancer, there is a need for decision support systems to detect abnormalities in the early stages and help reduce the mortality rate.  ...  Continuous improvements have been made in the accuracy of melanoma diagnosis, but other classes of cancer, such as basal cell carcinoma and squamous cell carcinoma, are not very intact with the non-invasive  ...  The next most important descriptors are textural, having various categories such as Haar, Gabor filter, wavelet, and gray level co-occurrence matrix (GLCM).  ... 
doi:10.23940/ijpe.19.04.p3.10831093 fatcat:ms4e3tkjvndd3n7iyucvhxbnt4

Maximum Response Deep Learning Using Markov, Retinal & Primitive Patch Binding With GoogLeNet & VGG-19 for Large Image Retrieval

Khwaja Tahseen Ahmed, Saroosh Jaffar, Malik Ghulam Hussain, Shahid Fareed, Arif Mehmood, Gyu Sang Choi
2021 IEEE Access  
INDEX TERMS Bag of words, cascade sampling, content based image retrieval, color components, maximum response for texture pattern, combination of features.  ...  This article presents the maximum response of visual features of an image over profound convolutional neural networks in blend with an innovative content-based image retrieval plan to recover phenomenally  ...  In this research work, the CBIR technique is employed to calculate the maximum response for texture with color coordinates and cascade samples for GoogLeNet and VGG19 for efficient image retrieval.  ... 
doi:10.1109/access.2021.3063545 fatcat:ydxh5vvhavbatermcqjkisoar4
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