scholarly journals Image dimension-reducing based on improved LLE algorithm

2018 ◽  
Vol 1053 ◽  
pp. 012122
Author(s):  
Fang Li ◽  
Xiang Gao
Keyword(s):  
Image Dimension ◽  
Dimension Reducing

scholarly journals Research on the Extraction of Image Edge Information in Convolutional Neural Networks

2021 ◽  
Vol 2083 (3) ◽  
pp. 032015
Author(s):  
Guanru Zou ◽  
Yulin Luo ◽  
Zefeng Feng
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Input Image ◽  
Edge Weight ◽  
Edge Information ◽  
Image Dimension ◽  
Original Dataset ◽  
Image Edge ◽  
Accuracy Rates ◽  
Object Move

Abstract Convolutional neural network is an important neural network model in deep learning and a common algorithm in computer vision problems. From the perspective of practical application scenarios, this paper studies whether padding in convolutional neural network convolution layer weakens the image edge information. In order to eliminate the background factor, this paper select MNIST dataset as the research object, move the 0-9 digital image to the specified image edge by clearing the white area pixels in the specified direction, and use OpenCV to realize bilinear interpolation to scale the image to ensure that the image dimension is 28×28. The convolution neural network is built to train the original dataset and the processed dataset, and the accuracy rates are 0.9892 and 0.1082 respectively. In the comparative experiment, padding cannot solve the problem of weakening the image edge weight well. In the actual digital recognition scene, it is necessary to consider whether the core recognition area in the input image is at the edge of the image.

Discriminant Manifold Learning Approach for Hyperspectral Image Dimension Reduction

2013 ◽  
Vol 42 (3) ◽  
pp. 320-325
Author(s):  
杜博 DU Bo ◽  
张乐飞 ZHANG Le-fei ◽  
张良培 ZHANG Liang-pei ◽  
胡文斌 HU Wen-bin
Keyword(s):  
Dimension Reduction ◽  
Manifold Learning ◽  
Hyperspectral Image ◽  
Learning Approach ◽  
Image Dimension

scholarly journals Hiding a Covert Digital Image by Assembling the RSA Encryption Method and the Binary Encoding Method

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Kuang Tsan Lin ◽  
Sheng Lih Yeh
Keyword(s):  
Digital Image ◽  
Binary Data ◽  
Holographic Image ◽  
Binary Encoding ◽  
Image Dimension ◽  
Encoding Method ◽  
Encryption Method

The Rivest-Shamir-Adleman (RSA) encryption method and the binary encoding method are assembled to form a hybrid hiding method to hide a covert digital image into a dot-matrix holographic image. First, the RSA encryption method is used to transform the covert image to form a RSA encryption data string. Then, all the elements of the RSA encryption data string are transferred into binary data. Finally, the binary data are encoded into the dot-matrix holographic image. The pixels of the dot-matrix holographic image contain seven groups of codes used for reconstructing the covert image. The seven groups of codes are identification codes, covert-image dimension codes, covert-image graylevel codes, pre-RSA bit number codes, RSA key codes, post-RSA bit number codes, and information codes. The reconstructed covert image derived from the dot-matrix holographic image and the original covert image are exactly the same.

scholarly journals Does Halal image strengthen consumer intention to patronize Halal stores?

2016 ◽  
Vol 7 (1) ◽  
pp. 120-132 ◽  
Author(s):  
Norazah Mohd Suki ◽  
Abang Sulaiman Abang Salleh
Keyword(s):  
Sampling Technique ◽  
Subjective Norm ◽  
Behavioural Control ◽  
Content Type ◽  
Perceived Behavioural Control ◽  
Theoretical Contribution ◽  
Foreign Companies ◽  
Image Dimension ◽  
Self Administered Questionnaire ◽  
Main City

Purpose – The purpose of this study is to examine the influence of Halal image, attitude, subjective norm and perceived behavioural control on consumer behavioural intention to patronize Halal stores in Malaysia. Design/methodology/approach – A self-administered questionnaire was disseminated to members of the general public in Kuching, the main city of Sarawak, Malaysia, via a convenient sampling technique. In total, 548 valid samples were usable for data analysis. Correlation analysis was used to test the model. Findings – Empirical results revealed that consumers’ intention to patronize Halal stores is influenced by attitude, perceived behavioural control, subjective norm and Halal image. Muslim consumers develop a favourable attitude towards stores that display a Halal image, are pleased to know that each item available in these stores is a confirmed Halal product and decide to re-patronize those stores in their practice of Islamic teachings. Practical implications – Marketing managers should focus on developing a positive image of their stores to attract Muslim consumers. For foreign companies, this means that managements should be respectful of the Shariah law in their business transactions and create an image of their brands which is in accordance with Halal requirements to increase the confidence among Muslim customers to patronize their products and stores. Originality/value – The main theoretical contribution relates to the inclusion of the halal image dimension as a variable in the matter of consumer intention to patronize Halal stores in Malaysia.

Sign in / Sign up

Export Citation Format

Share Document