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International Conference on Image Processing and Capsule Networks (2021 :)
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Second International Conference on Image Processing and Capsule Networks = ICIPCN 2021 /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Second International Conference on Image Processing and Capsule Networks/ edited by Joy Iong-Zong Chen ... [et al.].
其他題名:
ICIPCN 2021 /
其他題名:
ICIPCN 2021
其他作者:
Chen, Joy Iong-Zong.
團體作者:
International Conference on Image Processing and Capsule Networks
出版者:
Cham :Springer International Publishing : : 2022.,
面頁冊數:
xviii, 825 p. :ill. (some col.), digital ;24 cm.
內容註:
A Survey of Machine Learning Techniques Applied for Automatic Traffic Light Recognition -- Machine Learning based Detection and Classification of Heart Abnormalities -- An Evaluation of Multiclass Leaf Classification using Transfer Learning Techniques -- Scene Generated with Text guidance(VAAB System) -- Machine Learning Approaches for Image Quality Improvement -- Natural Disaster Prediction by using Image based Deep Learning and Machine Learning -- A Novel Multi-Objective Differential Evolution Algorithm for Clustering Data Streams -- An Algorithm for Pre-processing of Areca nut for Quality Classification -- An Effect of Binarization on Handwritten Digits Recognition by Hierarchical Neural Networks -- Deep Convolutional Neural Networks (CNNs) to Detect Abnormality in Musculoskeletal Radiographs.
Contained By:
Springer Nature eBook
標題:
Image processing - Digital techniques -
電子資源:
https://doi.org/10.1007/978-3-030-84760-9
ISBN:
9783030847609
Second International Conference on Image Processing and Capsule Networks = ICIPCN 2021 /
Second International Conference on Image Processing and Capsule Networks
ICIPCN 2021 /[electronic resource] :ICIPCN 2021edited by Joy Iong-Zong Chen ... [et al.]. - Cham :Springer International Publishing :2022. - xviii, 825 p. :ill. (some col.), digital ;24 cm. - Lecture notes in networks and systems,v. 3002367-3389 ;. - Lecture notes in networks and systems ;v. 300..
A Survey of Machine Learning Techniques Applied for Automatic Traffic Light Recognition -- Machine Learning based Detection and Classification of Heart Abnormalities -- An Evaluation of Multiclass Leaf Classification using Transfer Learning Techniques -- Scene Generated with Text guidance(VAAB System) -- Machine Learning Approaches for Image Quality Improvement -- Natural Disaster Prediction by using Image based Deep Learning and Machine Learning -- A Novel Multi-Objective Differential Evolution Algorithm for Clustering Data Streams -- An Algorithm for Pre-processing of Areca nut for Quality Classification -- An Effect of Binarization on Handwritten Digits Recognition by Hierarchical Neural Networks -- Deep Convolutional Neural Networks (CNNs) to Detect Abnormality in Musculoskeletal Radiographs.
This book includes the papers presented in 2nd International Conference on Image Processing and Capsule Networks [ICIPCN 2021]. In this digital era, image processing plays a significant role in wide range of real-time applications like sensing, automation, health care, industries etc. Today, with many technological advances, many state-of-the-art techniques are integrated with image processing domain to enhance its adaptiveness, reliability, accuracy and efficiency. With the advent of intelligent technologies like machine learning especially deep learning, the imaging system can make decisions more and more accurately. Moreover, the application of deep learning will also help to identify the hidden information in volumetric images. Nevertheless, capsule network, a type of deep neural network, is revolutionizing the image processing domain; it is still in a research and development phase. In this perspective, this book includes the state-of-the-art research works that integrate intelligent techniques with image processing models, and also, it reports the recent advancements in image processing techniques. Also, this book includes the novel tools and techniques for deploying real-time image processing applications. The chapters will briefly discuss about the intelligent image processing technologies, which leverage an authoritative and detailed representation by delivering an enhanced image and video recognition and adaptive processing mechanisms, which may clearly define the image and the family of image processing techniques and applications that are closely related to the humanistic way of thinking.
ISBN: 9783030847609
Standard No.: 10.1007/978-3-030-84760-9doiSubjects--Topical Terms:
623656
Image processing
--Digital techniques
LC Class. No.: TA1637 / .I57 2021
Dewey Class. No.: 006.42
Second International Conference on Image Processing and Capsule Networks = ICIPCN 2021 /
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