Interactive Image Processing and Manipulation

2007 ◽  
Author(s):  
Stephen S. Nestinger ◽  
Harry H. Cheng
Keyword(s):  
Image Processing ◽  
Rapid Prototyping ◽  
Rapid Development ◽  
Imaging Informatics ◽  
Image Manipulation ◽  
Web Based ◽  
Diverse Range ◽  
Electronic Imaging ◽  
Dynamic Manipulation

Electronic imaging informatics spans a diverse range of applications. These applications would benefit from an interpretive imaging platform, which allows dynamic manipulation and processing of electronic images. Ch is an embeddable C/C++ interpreter that provides an interpretive platform for C/C++ based scripts and programs. Combining Ch with ImageMagick provides the functionality for rapid development of user defined image manipulation and processing applications and scripts. The presented Ch ImageMagick package provides users with the ability to interpretively execute C code based on the ImageMagick C library. This article describes the integration of ImageMagick and Ch. The use of ImageMagick utilities in Ch scripts for rapid prototyping is illustrated. A Web-based example demonstrates the use of Ch and ImageMagick in C based CGI scripting to facilitate the development of Web-based applications involving image manipulation and processing.

Elastic Graph-based Semi-supervised Embedding with Adaptive Loss Regression

2020 ◽  
Keyword(s):  
Image Processing ◽  
International Symposium ◽  
Fast Track ◽  
Electronic Imaging ◽  
Image Processing Algorithms ◽  
Processing Algorithms

Fast track article for IS&T International Symposium on Electronic Imaging 2020: Image Processing: Algorithms and Systems proceedings.

scholarly journals Diabetic Retinal Grading Using Attention-Based Bilinear Convolutional Neural Network and Complement Cross Entropy

Entropy ◽  
2021 ◽  
Vol 23 (7) ◽  
pp. 816
Author(s):  
Pingping Liu ◽  
Xiaokang Yang ◽  
Baixin Jin ◽  
Qiuzhan Zhou
Keyword(s):  
Neural Network ◽  
Image Processing ◽  
Diabetic Retinopathy ◽  
Convolutional Neural Network ◽  
Image Classification ◽  
Network Model ◽  
Rapid Development ◽  
Image Data ◽  
Lesion Detection ◽  
Great Success

Diabetic retinopathy (DR) is a common complication of diabetes mellitus (DM), and it is necessary to diagnose DR in the early stages of treatment. With the rapid development of convolutional neural networks in the field of image processing, deep learning methods have achieved great success in the field of medical image processing. Various medical lesion detection systems have been proposed to detect fundus lesions. At present, in the image classification process of diabetic retinopathy, the fine-grained properties of the diseased image are ignored and most of the retinopathy image data sets have serious uneven distribution problems, which limits the ability of the network to predict the classification of lesions to a large extent. We propose a new non-homologous bilinear pooling convolutional neural network model and combine it with the attention mechanism to further improve the network’s ability to extract specific features of the image. The experimental results show that, compared with the most popular fundus image classification models, the network model we proposed can greatly improve the prediction accuracy of the network while maintaining computational efficiency.

A framework for programmatically designing user interfaces in JavaScript

2015 ◽  
Vol 11 (3) ◽  
pp. 254-269
Author(s):  
Henry Larkin
Keyword(s):  
User Interface ◽  
User Interfaces ◽  
Design Methodology ◽  
Rapid Development ◽  
Program Code ◽  
Web Based ◽  
Content Type ◽  
Mobile Web ◽  
Mobile Interfaces ◽  
New Framework

Purpose – The purpose of this paper is to investigate the feasibility of creating a declarative user interface language suitable for rapid prototyping of mobile and Web apps. Moreover, this paper presents a new framework for creating responsive user interfaces using JavaScript. Design/methodology/approach – Very little existing research has been done in JavaScript-specific declarative user interface (UI) languages for mobile Web apps. This paper introduces a new framework, along with several case studies that create modern responsive designs programmatically. Findings – The fully implemented prototype verifies the feasibility of a JavaScript-based declarative user interface library. This paper demonstrates that existing solutions are unwieldy and cumbersome to dynamically create and adjust nodes within a visual syntax of program code. Originality/value – This paper presents the Guix.js platform, a declarative UI library for rapid development of Web-based mobile interfaces in JavaScript.

Design and Implementation of SNMP-Based Web Network Management System

2011 ◽  
Vol 341-342 ◽  
pp. 705-709 ◽  
Author(s):  
Wei Wei Zhang ◽  
Sui Yang Chen
Keyword(s):  
Network Management ◽  
Network Architecture ◽  
Management System ◽  
Computer Network ◽  
Rapid Development ◽  
Network Management System ◽  
Web Based ◽  
Management Technology ◽  
Important Direction ◽  
User Friendly

With the rapid development of computer network, the network architecture is increasingly complicated; the scale of network extends continuously. Therefore, the functions and positions of the network management are also more and more important. The Web-Based network management, making users manage the network and system expediently and simply, combining Web technology and modern distributed network management technology, which can also be updated and customized easily to meet the different needs, is an important direction of the development of the network management technology in the future. This paper proposes an a SNMP-based Web network management system using B/S structure, which has features of flexible structure, easily extensible, user-friendly features and so on.

scholarly journals HOUGH TRANSFORM GENERATED STRONG IMAGE HASHING SCHEME FOR COPY DETECTION

2018 ◽  
Author(s):  
Mayank Srivastava ◽  
Jamshed M Siddiqui ◽  
Mohammad Athar Ali
Keyword(s):  
Image Processing ◽  
Wavelet Transform ◽  
Discrete Wavelet Transform ◽  
Hough Transform ◽  
Rapid Development ◽  
Discrimination Performance ◽  
Discrete Wavelet ◽  
Image Hashing ◽  
Copy Detection ◽  
Detection Scheme

The rapid development of image editing software has resulted in widespread unauthorized duplication of original images. This has given rise to the need to develop robust image hashing technique which can easily identify duplicate copies of the original images apart from differentiating it from different images. In this paper, we have proposed an image hashing technique based on discrete wavelet transform and Hough transform, which is robust to large number of image processing attacks including shifting and shearing. The input image is initially pre-processed to remove any kind of minor effects. Discrete wavelet transform is then applied to the pre-processed image to produce different wavelet coefficients from which different edges are detected by using a canny edge detector. Hough transform is finally applied to the edge-detected image to generate an image hash which is used for image identification. Different experiments were conducted to show that the proposed hashing technique has better robustness and discrimination performance as compared to the state-of-the-art techniques. Normalized average mean value difference is also calculated to show the performance of the proposed technique towards various image processing attacks. The proposed copy detection scheme can perform copy detection over large databases and can be considered to be a prototype for developing online real-time copy detection system.   

scholarly journals A Distributed and Collaborative Intelligent System for Medical Diagnosis

2013 ◽  
Vol 2 (2) ◽  
pp. 1-16
Author(s):  
Naoufel Khayati ◽  
Wided Lejouad-Chaari
Keyword(s):  
Image Processing ◽  
Medical Image ◽  
Intelligent System ◽  
Distributed Environment ◽  
Web Based ◽  
Knowledge Based ◽  
Technological Advances ◽  
And Control ◽  
Control Complex

In this paper, we present a distributed collaborative system assisting physicians in diagnosis when processing medical images. This is a Web-based solution since the different participants and resources are on various sites. It is collaborative because these participants (physicians, radiologists, knowledgebasesdesigners, program developers for medical image processing, etc.) can work collaboratively to enhance the quality of programs and then the quality of the diagnosis results. It is intelligent since it is a knowledge-based system including, but not only, a knowledge base, an inference engine said supervision engine and ontologies. The current work deals with the osteoporosis detection in bone radiographies. We rely on program supervision techniques that aim to automatically plan and control complex software usage. Our main contribution is to allow physicians, who are not experts in computing, to benefit from technological advances made by experts in image processing, and then to efficiently use various osteoporosis detection programs in a distributed environment.

scholarly journals Web Based Data Capture for Clinical Research

10.28945/3201 ◽  
2008 ◽  
Author(s):  
Stephen Smith ◽  
Samuel Sambasivam
Keyword(s):  
Clinical Trials ◽  
Clinical Research ◽  
Medical Device ◽  
Rapid Development ◽  
Research Data ◽  
Data Capture ◽  
Electronic Data Capture ◽  
Proof Of Concept ◽  
Web Based ◽  
Tools And Techniques

Electronic Data Capture (EDC) is increasingly being used in the pharmaceutical, biotech and medical device industries to gather research data worldwide from doctors, hospitals and universities participating in clinical trials. In this highly regulated environment, all systems and software must be thoroughly tested and validated, a task that is burdensome in terms of time and cost. Starting with database structures that are designed to be copied easily, this paper proposes a simple framework that allows for rapid development and minimal testing. The framework includes tools for building modules, for copying modules from one trial to the next, and tools to validate that the modules are the same as modules that have been fully tested previously. A proof-of-concept prototype has been built to demonstrate certain tools and techniques that can be used when designing and building a simplified EDC interface.

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