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  • Open Access

    ARTICLE

    Shadow Detection and Removal From Photo-Realistic Synthetic Urban Image Using Deep Learning

    Hee-Jin Yoon1, Kang-Jik Kim1, Jun-Chul Chun1,*

    CMC-Computers, Materials & Continua, Vol.62, No.1, pp. 459-472, 2020, DOI:10.32604/cmc.2020.08799

    Abstract Recently, virtual reality technology that can interact with various data is used for urban design and analysis. Reality, one of the most important elements in virtual reality technology, means visual expression so that a person can experience threedimensional space like reality. To obtain this realism, real-world data are used in the various fields. For example, in order to increase the realism of 3D modeled building textures real aerial images are utilized in 3D modelling. However, the aerial image captured during the day can be shadowed by the sun and it can cause the distortion or deterioration of image. To resolve… More >

  • Open Access

    ARTICLE

    Image Interpolation via Gaussian-Sinc Interpolators with Partition of Unity

    Gang Xu1, *, Ran Ling1, Lishan Deng1, Qing Wu1, Weiyin Ma2

    CMC-Computers, Materials & Continua, Vol.62, No.1, pp. 309-319, 2020, DOI:10.32604/cmc.2020.06509

    Abstract In this paper, we propose a novel image interpolation method by using Gaussian-Sinc automatic interpolators with partition of unity property. A comprehensive comparison is made with classical image interpolation methods, such as the bicubic interpolation, Lanczos interpolation, cubic Schaum interpolation, cubic B-spline interpolation and cubic Moms interpolation. The experimental results show the effectiveness of the improved image interpolation method via some image quality metrics such as PSNR and SSIM. More >

  • Open Access

    ARTICLE

    Fire Detection Method Based on Improved Fruit Fly Optimization-Based SVM

    Fangming Bi1, 2, Xuanyi Fu1, 2, Wei Chen1, 2, 3, *, Weidong Fang4, Xuzhi Miao1, 2, Biruk Assefa1, 5

    CMC-Computers, Materials & Continua, Vol.62, No.1, pp. 199-216, 2020, DOI:10.32604/cmc.2020.06258

    Abstract Aiming at the defects of the traditional fire detection methods, which are caused by false positives and false negatives in large space buildings, a fire identification detection method based on video images is proposed. The algorithm first uses the hybrid Gaussian background modeling method and the RGB color model to perform fire prejudgment on the video image, which can eliminate most non-fire interferences. Secondly, the traditional regional growth algorithm is improved and the fire image segmentation effect is effectively improved. Then, based on the segmented image, the dynamic and static features of the fire flame are further analyzed and extracted… More >

  • Open Access

    ARTICLE

    Median Filtering Forensics Scheme for Color Images Based on Quaternion Magnitude-Phase CNN

    Jinwei Wang1, *, Yang Zhang1

    CMC-Computers, Materials & Continua, Vol.62, No.1, pp. 99-112, 2020, DOI:10.32604/cmc.2020.04373

    Abstract In the paper, a convolutional neural network based on quaternion transformation is proposed to detect median filtering for color images. Compared with conventional convolutional neural network, color images can be processed in a holistic manner in the proposed scheme, which makes full use of the correlation between RGB channels. And due to the use of convolutional neural network, it can effectively avoid the one-sidedness of artificial features. Experimental results have shown the scheme’s improvement over the state-of-the-art scheme on the accuracy of color image median filtering detection. More >

  • Open Access

    ARTICLE

    Digital Forensics for Recoloring via Convolutional Neural Network

    Zhangyi Shen1, Feng Ding2, *, Yunqing Shi1

    CMC-Computers, Materials & Continua, Vol.62, No.1, pp. 1-16, 2020, DOI:10.32604/cmc.2020.08291

    Abstract As a common medium in our daily life, images are important for most people to gather information. There are also people who edit or even tamper images to deliberately deliver false information under different purposes. Thus, in digital forensics, it is necessary to understand the manipulating history of images. That requires to verify all possible manipulations applied to images. Among all the image editing manipulations, recoloring is widely used to adjust or repaint the colors in images. The color information is an important visual information that image can deliver. Thus, it is necessary to guarantee the correctness of color in… More >

  • Open Access

    ARTICLE

    Knockdown of apoptosis-inducing factor disrupts function of respiratory complex

    MIROSLAV VAŘECHA1*, DANIELA PÁCLOVÁ2, JIŘINA PROCHÁZKOVÁ2, PAVEL MATULA1, DUŠAN CMARKO3, AND MICHAL KOZUBEK1

    BIOCELL, Vol.36, No.3, pp. 121-126, 2012, DOI:10.32604/biocell.2012.36.121

    Abstract Recent findings suggest that apoptotic protein apoptosis-inducing factor (AIF) may also play an important non-apoptotic function inside mitochondria. AIF was proposed to be an important component of respiratory chain complex I that is the major producer of superoxide radical. The possible role of AIF is still controversial. Superoxide production could be used as a valuable measure of complex I function, because the majority of superoxide is produced there. Therefore, we employed superoxide-specific mitochondrial fluorescence dye for detection of superoxide production. We studied an impact of AIF knockdown on function of mitochondrial complex I by analyzing superoxide production in selected cell… More >

  • Open Access

    ARTICLE

    Analyzing digital color descriptors in wheat

    Salomón N1, V Misller1, C Delrieux2, R Miranda3

    Phyton-International Journal of Experimental Botany, Vol.84, No.2, pp. 306-311, 2015, DOI:10.32604/phyton.2015.84.306

    Abstract Color is one of the factors used in quality estimation in many agricultural and food products. Currently, the evaluation of color depends on judgments made by human experts. These are subjective and inevitably affected by physical, physiological and environmental conditions. Suitable instrumental is required to provide objectivity and coherence to color measurements and quantitative expressions. It would be very useful to have tools that allow both practical and precise approaches to chromatic evaluation of products for human consumption. This work suggests a methodology which might contribute to solve that constraint and the analysis of environmental influences on this character in… More >

  • Open Access

    ARTICLE

    Growth induction of root and tubercle in Caladium bicolor with organic fertilizer

    González-Cervantes G1, JA Chávez-Simental2, IA Ortiz-Sánchez3, LM Valenzuela-Núñez4, MA Macías-Corral5, JG Arreola-Avila6

    Phyton-International Journal of Experimental Botany, Vol.86, pp. 40-45, 2017, DOI:10.32604/phyton.2017.86.040

    Abstract The introduction of ornamental crops to the Comarca Lagunera is a great market opportunity for producers of flowers, just as it is the case of Caladium bicolor which is exported to Europe, USA, Caribbean islands and Africa. The use of organic products derived from cattle manure for fertilization, improves physical soil conditions and provides significant amount of nutrients to plants and reduce production costs. Therefore, the objective of this study was to quantify the growth of tubercle and root of the ornamental plant Caladium bicolor by applying organic fertilizer (OF) extracted from cattle manure. The experimental design was completely randomized… More >

  • Open Access

    ARTICLE

    IDSH: An Improved Deep Supervised Hashing Method for Image Retrieval

    Chaowen Lu1,a, Feifei Lee1,a,*, Lei Chen1, Sheng Huang1, Qiu Chen2,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.121, No.2, pp. 593-608, 2019, DOI:10.32604/cmes.2019.07796

    Abstract Image retrieval has become more and more important because of the explosive growth of images on the Internet. Traditional image retrieval methods have limited image retrieval performance due to the poor image expression abhility of visual feature and high dimension of feature. Hashing is a widely-used method for Approximate Nearest Neighbor (ANN) search due to its rapidity and timeliness. Meanwhile, Convolutional Neural Networks (CNNs) have strong discriminative characteristics which are used for image classification. In this paper, we propose a CNN architecture based on improved deep supervised hashing (IDSH) method, by which the binary compact codes can be generated directly.… More >

  • Open Access

    ARTICLE

    Coupled Digital Image Correlation and Peridynamics for Full-Field Deformation Measurement and Local Damage Prediction

    Tianyi Li1, Xin Gu1, Qing Zhang1,*, Dong Lei1

    CMES-Computer Modeling in Engineering & Sciences, Vol.121, No.2, pp. 425-444, 2019, DOI:10.32604/cmes.2019.06700

    Abstract Digital image correlation (DIC) measurement technique and peridynamics (PD) method have been applied in specific fields extensively owing to their respective advantages in obtaining full-field deformation and local failure of loaded materials and structures. This study provides a simple way to couple DIC measurements with PD simulations, which can circumvent the difficulties of DIC in dealing with discontinuous deformations. Taking the failure analysis of a compact tension specimen of aluminum alloy and a static three-point bending concrete beam as examples, the DIC experimental system firstly measures the full-field displacements, and then the PD simulation is applied on potential damage regions… More >

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