Amal Ben Hamida^1,*, Chokri Ben Amar², Yasser Albagory²

Intelligent Automation & Soft Computing, Vol.33, No.3, pp. 1607-1621, 2022, DOI:10.32604/iasc.2022.024939 - 24 March 2022

Abstract Since the number of fires in the world is rising rapidly, automatic fire detection is getting more and more interest in computer vision community. Instead of the usual inefficient sensors, captured videos by video surveillance cameras can be analyzed to quickly detect fires and prevent damages. This paper presents an early fire-alarm raising method based on image processing. The developed work is able to discriminate fire and non-fire pixels. Fire pixels are identified thanks to a rule-based color model built in the PJF color space. PJF is a newly designed color space that enables to… More >

Ayman M. Abdalla^1,*, Mohammad Abu Awad², Omar AlZoubi², La'aly A. Al-Samrraie³

CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 797-814, 2022, DOI:10.32604/cmc.2022.024913 - 24 February 2022

Abstract The enlarged veins in the pampiniform venous plexus, known as varicocele disease, are typically identified using ultrasound scans. The medical diagnosis of varicocele is based on examinations made in three positions taken to the right and left testicles of the male patient. The proposed system is designed to determine whether a patient is affected. Varicocele is more frequent on the left side of the scrotum than on the right and physicians commonly depend on the supine position more than other positions. Therefore, the experimental results of this study focused on images taken in the supine… More >

Muhammad Samiullah¹, Waqar Aslam¹, Saima Sadiq², Arif Mehmood¹, Gyu Sang Choi^3,*

CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 1645-1670, 2022, DOI:10.32604/cmc.2022.021019 - 24 February 2022

Abstract While designing and developing encryption algorithms for text and images, the main focus has remained on security. This has led to insufficient attention on the improvement of encryption efficiency, enhancement of hyperchaotic sequence randomness, and dynamic DNA-based S-box. In this regard, a new symmetric block cipher scheme has been proposed. It uses dynamic DNA-based S-box connected with MD5 and a hyperchaotic system to produce confusion and diffusion for encrypting color images. Our proposed scheme supports various size color images. It generates three DNA based S-boxes for substitution namely DNA_1_s-box, DNA_2_s-box and DNA_3_s-box, each of size… More >

Reena Thomas^1,*, M. Sucharitha²

Intelligent Automation & Soft Computing, Vol.33, No.2, pp. 879-889, 2022, DOI:10.32604/iasc.2022.024070 - 08 February 2022

Abstract The major intention of this work is to introduce a novel hybrid image watermarking technique for RGB color images. This hybrid watermarking algorithm uses two transforms such as Contourlet and Gould transform. The Contourlet transform is used as first stage while the Gould transform is used as second stage. In the watermark embedding phase, the R, G and B channels are transformed using Contourlet transform. The bandpass directional sub band coefficients of Contourlet transformed image are then divided into sub-blocks. The sub-blocks are then transformed using Gould transform and the watermark information is embedded on More >

Mahmoud Ragab^1,2,3,*, Khalid Eljaaly⁴, Maha Farouk S. Sabir⁵, Ehab Bahaudien Ashary⁶, S. M. Abo-Dahab^7,8, E. M. Khalil^3,9

CMC-Computers, Materials & Continua, Vol.71, No.3, pp. 5751-5764, 2022, DOI:10.32604/cmc.2022.024658 - 14 January 2022

Abstract The recent developments in biological and information technologies have resulted in the generation of massive quantities of data it speeds up the process of knowledge discovery from biological systems. Due to the advancements of medical imaging in healthcare decision making, significant attention has been paid by the computer vision and deep learning (DL) models. At the same time, the detection and classification of colorectal cancer (CC) become essential to reduce the severity of the disease at an earlier stage. The existing methods are commonly based on the combination of textual features to examine the classifier… More >

Esam A. AlQaralleh¹, Halah Nassif², Bassam A. Y. Alqaralleh^2,*

CMC-Computers, Materials & Continua, Vol.71, No.3, pp. 5477-5490, 2022, DOI:10.32604/cmc.2022.024364 - 14 January 2022

Abstract Tongue diagnosis is a novel and non-invasive approach commonly employed to carry out the supplementary diagnosis over the globe. Recently, several deep learning (DL) based tongue color image analysis models have existed in the literature for the effective detection of diseases. This paper presents a fusion of handcrafted with deep features based tongue color image analysis (FHDF-TCIA) technique to biomedical applications. The proposed FDHF-TCIA technique aims to investigate the tongue images using fusion model, and thereby determines the existence of disease. Primarily, the FHDF-TCIA technique comprises Gaussian filtering based preprocessing to eradicate the noise. The More >

Mohamed Amin Ben Atitallah^1,2,3,*, Rostom Kachouri², Ahmed Ben Atitallah⁴, Hassene Mnif¹

CMC-Computers, Materials & Continua, Vol.71, No.3, pp. 5963-5977, 2022, DOI:10.32604/cmc.2022.024345 - 14 January 2022

Abstract In the context of constructing an embedded system to help visually impaired people to interpret text, in this paper, an efficient High-level synthesis (HLS) Hardware/Software (HW/SW) design for text extraction using the Gamma Correction Method (GCM) is proposed. Indeed, the GCM is a common method used to extract text from a complex color image and video. The purpose of this work is to study the complexity of the GCM method on Xilinx ZCU102 FPGA board and to propose a HW implementation as Intellectual Property (IP) block of the critical blocks in this method using HLS More >

Zhaoyang Yu¹, Jinbo Hu^1,2,*, Yuan Liu^1,*, Shanshan Chang¹, Ting Li², Gonggang Liu¹, Qiongtao Huang³, Jianying Yuan⁴

Journal of Renewable Materials, Vol.10, No.5, pp. 1365-1379, 2022, DOI:10.32604/jrm.2022.018255 - 22 December 2021

Abstract Color, whiteness and glossiness of four caesalpiniaceae wood species were characterized by quantitative measurements and image analysis, i.e., which were respectively Berlinia bracteosa Benth., Monopetalanthus heitzii Pellegr., Distemonanthus benthamianus and Erythrophleum ivorense A. Chev. The color of four wood species was evaluated to be consistent by the CIELab and CIE1931 color system. The boards of B. bracteosa, M. heitzii and E. ivorense was divided into dark color. The wood color of B. bracteosa had the highest red to green hue, while the wood appearance of D. benthamianus had the brightest and yellowest color within the four wood species. The whiteness of D. benthamianus was significantly… More > Graphic Abstract

Wanni Xu^1,*, Huasen Xu², Xingyu Guo³

CMES-Computer Modeling in Engineering & Sciences, Vol.130, No.2, pp. 1171-1192, 2022, DOI:10.32604/cmes.2022.017824 - 13 December 2021

Abstract Color language has important meaning for children’s picture books. Understanding children’s preferences in terms of color language will be helpful when designers model computerized picture books in order to adapt to children’s visual senses and effectively stimulate children’s interest in reading. In this study, we aimed to further explore the general characteristics of children’s preference for colors, color depth and color matching forms in picture books. For the study, 256 children between the ages of three and six were selected and divided into four groups. According to the implementation needs of the children’s color preference… More >

Shahid Yousaf^1,*, Hafiz Mahfooz Ul Haque², Abbas Khalid¹, Muhammad Adnan Hashmi³, Eraj Khan¹

CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 3355-3373, 2022, DOI:10.32604/cmc.2022.023019 - 07 December 2021

Abstract Recent years have witnessed the expeditious evolution of intelligent smart devices and autonomous software technologies with the expanded domains of computing from workplaces to smart computing in everyday routine life activities. This trend has been rapidly advancing towards the new generation of systems where smart devices play vital roles in acting intelligently on behalf of the users. Context-awareness has emerged from the pervasive computing paradigm. Context-aware systems have the ability to acquire contextual information from the surrounding environment autonomously, perform reasoning on it, and then adapt their behaviors accordingly. With the proliferation of context-aware systems… More >