Classifying Image Texture with Artificial Crawlers.

In this paper, we propose a new method to describe textures using the artificial crawler model. This model assumes that each agent can interact with the environment and each other. ... Since this swarm system alone does not achieve a good discrimination, we developed a new method to increase the discriminatory power of artificial crawlers, together with the fractal dimension theory. ... Artificial crawlers: N artificial crawler, as those explained earlier, are performed in a texture image. ...

doi:10.1016/j.physa.2013.10.011 fatcat:xeeq453mjjbpznfutxg34trony

Multiple Versions

This paper presents a novel approach to image texture classification based on the artificial crawler model. ... Texture plays an important role in computer vision tasks. Several methods of texture analysis are available. However, these methods are not capable of extracting rich detail in images. ... Further, the authors are also grateful to the Bioengineering Program at USP-EESC/ FMRP/IQSC which provided images of silk fibroin scaffolds. ...

doi:10.1088/1749-4699/7/1/015004 fatcat:hxkcebyembamdllk5ub5lqzud4

In this paper, we propose a novel approach for texture analysis based on artificial crawler model. Our method assumes that each agent can interact with the environment and each other. ... For each textured image, the feature vector is composed by signatures of the live agents curve at each time. ... In our approach, artificial crawlers are randomly placed in the image with initial energy . ...

doi:10.1088/1742-6596/410/1/012163 fatcat:y6p5zrlzv5fkfnv5czw62g3j5a

Multiple Versions

The ability to detect an anomaly in mammographic texture is important to successful outcomes in mammography screening and, in this study, a large number of mammograms were digitized with a highly accurate ... scanner; and textural features were derived from the mammograms as input data to a SONNET selforganizing neural network. ... Our aim was to apply artificial intelligence (AI) and image analysis techniques to answer the aforementioned research question. ...

doi:10.1109/fbit.2007.140 dblp:conf/fbit/HowardR07 fatcat:n3yf24zgerd6xgggrmen5xlt2i

The ability to detect an anomaly in mammographic texture is important to successful outcomes in mammography screening and, in this study, a large number of mammograms were digitized with a highly accurate ... scanner; and textural features were derived from the mammograms as input data to a SONNET selforganizing neural network. ... Our aim was to apply artificial intelligence (AI) and image analysis techniques to answer the aforementioned research question. ...

doi:10.1155/2008/526343 pmid:18670608 pmcid:PMC2486356 fatcat:zsaa2tfspjgztikm6errk2tcga

DOAJ

In recent days, several social networking sites are more popular with digitized images. It comprises the major portion of the databases which makes the search engines to face difficulty in searching. ... The images retrieved from the TBIR are ranked based on the relevancy of the tags and visual content of the images. The relevancy can be evaluated using Content Based Image Retrieval (CBIR) technique. ... Web crawler is the central part of the search engines. The working of the WebCrawler is explained with the help of WebCrawler architecture. ...

doi:10.15623/ijret.2014.0303027 fatcat:wt7x3ycawzafjcycqlywdtwgfu

Open Access

Methods: To evaluate our proposal, we built classifiers based on artificial neural networks, decision trees, Bayesian classifiers, and Haralick and Zernike attributes. ... These images are clinically classified into the classes cyst, malignant and benign. Moments of Zernike and Haralick were used as attributes. ... From this dissimilarity image, Belfort et al. (2015) used Artificial Crawlers Model for feature extraction (Gonçalves et al., 2014) . ...

doi:10.1590/2446-4740.05217 fatcat:zrx6nizgvfhelaue7vy4cvomaq

DOAJ SciELO

Citation

Maíra Araújo de Santana, Jessiane Mônica Silva Pereira, Fabrício Lucimar da Silva, Nigel Mendes de Lima, Felipe Nunes de Sousa, Guilherme Max Silva de Arruda, Rita de Cássia Fernandes de Lima, Washington Wagner Azevedo da Silva, Wellington Pinheiro dos Santos. "Breast cancer diagnosis based on mammary thermography and extreme learning machines." Research on Biomedical Engineering 34.1 (2018) 45-53

Our approach requires a single camera with little processing of visual information. ... This vision-based approach is particularly beneficial for resource-constrained robots with limited sensor capability. In this paper, we present the gait bounce derivation. ... Most of the confusion lies with rocks and woodchips, where 19% of woodchips were classified as rocks and 28% of rocks were classified as woodchips. ...

doi:10.1007/s10514-005-0605-5 fatcat:qifeig7knnaulbu63fuzyzcboq

Traditionally, they are collected through field survey or image interpretation, either of which is costly, labor-intensive and time-consuming. ... The proposed approach uses a customized deep web crawler to search for geo-tagged web texts based on land cover-related keywords and string-based rules matching. ... Results of Deep Web Crawler The prototype deep web crawler was developed based on the Microsoft NET framework 3.5 with C Sharp programming language. ...

doi:10.3390/rs70505805 fatcat:7nzenov725hyrm75xl4btefhfi

DOAJ Szczepanski

However, there are several aspects that we can consider to be classify agent-based strategies. ... In this vein, the authors proposed a multiagent method based on an artificial crawler that enables interaction between the agents and the environment. ... [33] proposed a texture descriptor method based on multiagents called crawlers regarding the limitations behind the existing texture analysis represented by the restricted capability of capturing the ...

doi:10.30534/ijatcse/2019/3281.62019 fatcat:fy5ymnusjfauji2bq6hl7njrpu

Firstly, to design a coral investigation system, RGB and spectral images of various types of corals in natural and artificial aquatic sites are collected. ... Based on single-channel images, a convolutional neural network (CNN) model, named DeeperLabC, is employed for the semantic segmentation of corals, which is a concise and modified deeperlab model with encoder-decoder ... Examples of coral images that were collected through python crawler. Figure A8 . A8 Figure A8. Coral images with complex background obtained by the web crawler. Figure A9 . A9 Figure A9. ...

doi:10.3390/s21051848 pmid:33800839 pmcid:PMC7961541 fatcat:oywfdafw6nc6hbcrg6uppebrgi

DOAJ

Typical small shovel logging system, using manual felling and extraction by small crawler excavator with grapple and crawler carriers, is the predominant logging method in the Republic of Korea, due to ... The trails with ground pressure and one more passes of the shovel and carriers may lead to soil compaction. ... Log extraction activities, such as vehicular (small crawler excavator with grapple and crawler carrier) movement and trail construction, may Figure 3 . ...

doi:10.1016/j.heliyon.2020.e03544 pmid:32181405 pmcid:PMC7066223 fatcat:lj4yucuum5a3pagavggti5frba

DOAJ Szczepanski

The final target of this project was to build an artificial intelligence (AI) platform, in terms of a web or mobile application, which would serve as a real-time decision making and supporting mechanism ... for the visitors and park rangers of the Galápagos Islands, to correctly identify a snake species from the user's uploaded image. ... P. darwini in the same image (c), (d) was classified correctly with 83% probability, and incorrectly classified as P. occidentalis with 59% probability. (a,c): actual images. ...

doi:10.3390/ani10050806 pmid:32384793 pmcid:PMC7278857 fatcat:65jf6ectozasrplz7piwu23xke

DOAJ

and texture- [25] based features. ... engines to find images from which classifiers can be trained. ...

doi:10.3390/fi6020242 fatcat:hnusw44irfe2nf5v6jvgqta2t4

DOAJ Szczepanski

However, with a growing number of web pages and social data, it is nearly impossible for humans to manually catch up with the ongoing evolution and the continuously variable content in this domain. ... This paper first proposes a scalable focused Web Crawler engine based on the distributed computing platforms to extract and process fashion data on e-commerce websites. ... In fact, the models were fine-tuned by replacing the Softmax classification layer of a pre-trained baseline model with a new classification layer trained to classify DeepFashion2 images initialized through ...

arXiv:2204.03998v1 fatcat:c5o24agj6zbmhbfmt3xf3dn3qa

Open Access

Texture descriptor combining fractal dimension and artificial crawlers

Preserved Fulltext

Artificial crawler model for texture analysis on silk fibroin scaffolds

Preserved Fulltext

Material quality assessment of silk nanofibers based on swarm intelligence

Preserved Fulltext

Other Versions

Textural Classification of Mammographic Parenchymal Patterns with the SONNET Self-Organizing Neural Network

Preserved Fulltext

Textural Classification of Mammographic Parenchymal Patterns with the SONNET Selforganizing Neural Network

Preserved Fulltext

TAG BASED IMAGE RETRIEVAL (TBIR) USING AUTOMATIC IMAGE ANNOTATION

Preserved Fulltext

Breast cancer diagnosis based on mammary thermography and extreme learning machines

Preserved Fulltext

Terrain Classification Using Weakly-Structured Vehicle/Terrain Interaction

Preserved Fulltext

Active Collection of Land Cover Sample Data from Geo-Tagged Web Texts

Preserved Fulltext

Review of Different Strategies for Coordinative Planning of Multi-agent Systems

Preserved Fulltext

Development of Coral Investigation System Based on Semantic Segmentation of Single-Channel Images

Preserved Fulltext

Assessing the impacts of log extraction by typical small shovel logging system on soil physical and hydrological properties in the Republic of Korea

Preserved Fulltext

Revealing the Unknown: Real-Time Recognition of Galápagos Snake Species Using Deep Learning

Preserved Fulltext

Exploiting Multimedia in Creating and Analysing Multimedia Web Archives

Preserved Fulltext

SnapMode: An Intelligent and Distributed Large-Scale Fashion Image Retrieval Platform Based On Big Data and Deep Generative Adversarial Network Technologies [article]

Preserved Fulltext