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Research ArticleOpen accessEvery word in the titleRestricted Boltzmann Machines for Fundus Image Reconstruction and Classification of Hypertension RetinopathyBambang Krismono Triwijoyo, Boy Subirosa Sabarguna, Widodo Budiharto, Edi AbdurachmanConventionally classification of hypertensive retinopathy through analysis of fundus images by experts, but this method the results are highly dependent on the accuracy of observations and expert experience. In this study, we propose a fundus image reconstruction and Hypertensive retinopathy classification model using Restricted Boltzmann Machines (RBM), as well as the Messidor database that has been labeled as a dataset. … …Journal of Computer Science, Vol. 17, Issue 2 · 26 Feb 2021 · 7,823 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePainting Psychotherapy Image Measurement and Reconstruction Algorithm based on Improved Hadamard MatrixMin Wan, Qiang Yang, Huajun WangPainting psychotherapy based on Internet technology has become a method of mental health testing and treatment. This method will produce a large number of digital images of painting psychotherapy. How to measure and reconstruct the image is the basis of automatic analysis and processing. This study aimed to propose a painting psychotherapy image measurement and reconstruction algorithm based on the … …American Journal of Biochemistry and Biotechnology, Vol. 16, Issue 4 · 6 Nov 2020 · 6,784 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleMultilevel Image Thresholding Using the Complement FeatureSalah AmeerA novel Eigen formulation is proposed for image segmentation. Each pixel is represented by a unit vector having the x-component as the normalized gray value of the pixel. The axes of inertia are simply the Eigen vectors of the auto-correlation matrix. The largest Eigen vector is used as the point of split. Each sub-image is further split in the same … …American Journal of Engineering and Applied Sciences, Vol. 13, Issue 3 · 28 Aug 2020 · 5,921 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleLocal Features Supported by the Complement Feature for Image SegmentationSalah AmeerAn Eigen formulation is proposed for image thresholding/segmentation. A vector composed of local features, normalized intensity of each pixel and that of the neighboring pixels, is used to represent each pixel. A “complement” component is appended to this vector to produce a “unit” vector. The auto-correlation matrix is computed for each pixel in the image using this unit vector. The … …American Journal of Engineering and Applied Sciences, Vol. 13, Issue 3 · 7 Jul 2020 · 6,607 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAn Adaptive Thresholding Algorithm-Based Optical Character Recognition System for Information Extraction in Complex ImagesDaniel Akinbade, Adewale Opeoluwa Ogunde, Mba Obasi Odim, Bosede Oyenike OguntundeExtracting texts from images with complex backgrounds is a major challenge today. Many existing Optical Character Recognition (OCR) systems could not handle this problem. As reported in the literature, some existing methods that can handle the problem still encounter major difficulties with extracting texts from images with sharp varying contours, touching word and skewed words from scanned documents and images … …Journal of Computer Science, Vol. 16, Issue 6 · 14 Jun 2020 · 8,473 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleImage Thresholding Using the Complement FeatureSalah AmeerA new feature (the complement feature) is proposed in an Eigen formulations for performing global image thresholding. The goal is to find an intensity or gray-level value below which is the background while above it is the foreground (object). Each pixel in the image is represented by a (2D) unit vector where the x-component is the normalized (to [0,1] or … …American Journal of Engineering and Applied Sciences, Vol. 13, Issue 2 · 8 Jun 2020 · 6,509 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleDefect Detection on 3D Print Products and in Concrete Structures Using Image Processing and Convolution Neural NetworkSelorm Garfo, M.A. Muktadir, Sun YiThis paper explores the automated detection of surface defects on 3-D printed products and concrete structures. They are the main factors to evaluate their quality in addition to dimension and roughness. Traditional detection by human inspectors is far from satisfactory. Manual inspection is time-consuming, error-prone and often leads to loss of resources. For this purpose, image processing and deep learning-based … …Journal of Mechatronics and Robotics, Vol. 4, Issue 1 · 26 May 2020 · 12,619 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleGoogleNet CNN Neural Network towards Chest CT-Coronavirus Medical Image ClassificationNesreen Alsharman, Ibrahim JawarnehIn the end of the year 2019 and the beginning of the year 2020, the world was overwhelmed by a medical pandemic that was not previously seen which is known Covid-19 (Coronavirus). Coronavirus (CoV) is a large family of viruses that cause illness ranging from the common cold to more severe diseases such as Middle East Respiratory Syndrome (MERS-CoV) and … …Journal of Computer Science, Vol. 16, Issue 5 · 14 May 2020 · 9,519 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleImage Processing of Friction Stir Welded 6060-T5 Aluminum Alloy JointAkshansh MishraImage processing can be a breakthrough in aerospace and manufacturing industries. In this research study, Friction Stir Welding of 6060 T5 Alloy is carried out. The image obtained of the Friction Stir Welded joint is subjected to basic image processing techniques using the OpenCV computer vision library and some standard data analysis libraries in Python. …Journal of Aircraft and Spacecraft Technology, Vol. 4, Issue 1 · 30 Apr 2020 · 6,978 accessesView PDFCite
Review ArticleOpen accessEvery word in the titleFrom Textural Inpainting to Deep Generative Models: An Extensive Survey of Image Inpainting TechniquesSetika Mehra, Ayush Dogra, Bhawna Goyal et al.Image inpainting is an evolving discipline of image processing with the objective of reconstructing an image by removing unwanted information, adding missing information or presenting the information appealing to the human visual system. In the presented manuscript, we have exhibited an extensive survey of various image inpainting techniques. The effectiveness of the techniques is together summarized with significant comparisons and … …Journal of Computer Science, Vol. 16, Issue 1 · 1 Jan 2020 · 8,727 accessesView PDFCite