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Research ArticleOpen accessEvery word in the titlePLANT RECOGNITION USING STEREO LEAF IMAGE USING GRAY-LEVEL CO-OCCURRENCE MATRIXHermawan Syahputra, Agus Harjoko, Retantyo Wardoyo, Reza PulunganAdequate knowledge, such as information about the unique characteristics of each plant, is necessary to identify plant. Researchers have made plant recognition based on leaf characteristics. The leaf image-based plant recognition in view of different angles is a new challenge. In this study, the research on the plant recognition was conducted based on leaf images resulted from 3D stereo camera. … …Journal of Computer Science, Vol. 10, Issue 4 · 24 Dec 2013 · 8,116 accessesView PDFCite
Research ArticleOpen accessIn the keywordsNon-Decimated Wavelet Transform and Vector Quantization for Lossy Medical Images CompressionHend A. Elsayed, Qusay E. Majeed, Mohammed M. El SherbinyThis study presents a new approach for lossy medical image compression using vector quantization. Recently, the digital image has been a reliable replacement for a hard copy of medical images, therefore, an effort has been made to ensure maintaining high-quality images to use for archiving, classification, or automated diagnostics support. Although the medical application contains all sorts of the images … …Journal of Computer Science, Vol. 19, Issue 3 · 24 Feb 2023 · 5,403 accessesView PDFCite
Research ArticleOpen accessIn the keywordsDirect Sequence and Frequency Hopping Signals Classification Based on Co-Occurrence Matrix and Clustering TechniquesHaidy S. Fouad, Hend A. Elsayed, Shawkat K. GirgisSpread Spectrum techniques (SS) were first developed for military applications, but currently, they have commercial applications. SS provides secure communication and allows multiple accesses for same radio spectrum. So, most Wireless Local Area Network (WLAN) systems use it, as do Cognitive Radios (CR), space systems and Global Positioning Systems (GPS). Direct Sequence Spread Spectrum (DSSS) and frequency hopped spread spectrum … …Journal of Computer Science, Vol. 15, Issue 1 · 10 Jan 2019 · 8,203 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAn Edge Detection Model Based on Virtual Magnetic Field: Application to Digital Color ImagesB. Nsiri, B. BoudaIn computer vision, the edge detection is an essential and difficult problem to study. For this reason, many detectors were developed for gray-level and color images. However, these edge detectors may miss some parts of the edges. In the aim, to deal with this problem, a new approach is proposed. It is based on Virtual Magnetic Field (VMF) in conjunction … …American Journal of Applied Sciences, Vol. 10, Issue 3 · 25 Mar 2013 · 6,435 accessesView PDFCite
Research ArticleOpen accessIn the keywordsOn Embeddings of Hamiltonian Paths and Cycles in Extended Fibonacci CubesIoana Zelina, Grigor Moldovan, Ioana TascuThe interconnection network is an essential component of a distributed system or of a supercomputer based on large-sale parallel processing. Because in distributed systems the communication between processors is based on message exchange, the network topology is of a great importance. The interconnection network can be seen as a graph and the properties of a network can be studied using … …American Journal of Applied Sciences, Vol. 5, Issue 11 · 30 Nov 2008 · 7,281 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSeparating Low Pass and High Pass Frequencies in the Image Without loosing informationZ. Alqadi, J. Musbah, A. L. MontengroGranulometries are morphological image analysis tools that are particularly useful for estimating object sizes in binary and grayscale images, or for characterizing textures based on their pattern spectra. There are many applications that morphology can be applied to. Some morphological operations like dilation, erosion and open-close are used in image and video processing, but with no application to pre-processing for … …Journal of Computer Science, Vol. 4, Issue 10 · 31 Oct 2008 · 6,428 accessesView PDFCite
Research ArticleOpen accessIn the keywordsCONTENT BASED BATIK IMAGE RETRIEVALA. Haris Rangkuti, Agus Harjoko, Agfianto Eko PutroContent Based Batik Image Retrieval (CBBIR) is an area of research that focuses on image processing based on characteristic motifs of batik. Basically the image has a unique batik motif compared with other images. Its uniqueness lies in the characteristics possessed texture and shape, which has a unique and distinct characteristics compared with other image characteristics. To study this batik … …Journal of Computer Science, Vol. 10, Issue 6 · 27 Jan 2014 · 7,417 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEnhancing Kidney Stone Detection Accuracy Using Image Processing and a Hybrid Convolutional Deep Belief NetworkGeetha M. N, Barkathulla A, S. Nandhini Devi et al.Automated CKD is a rapidly expanding non-communicable ailment that significantly contributes to global mortality and morbidity. CKD impacts more than 10% of the worldwide population, leading to millions of deaths annually. This paper proposes an enhanced deep learning model for renal disease detection that integrates convolutional and involution layers to enhance classification accuracy. CKD is a worldwide health issue characterised … …Journal of Computer Science, Vol. 22, Issue 10 · 9 Oct 2026 · 749 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEnhancing Social Media Face Emotion Recognition Using a Fuzzy ELM ApproachShuchi Gupta, K. Viswanath, S. Gokul Pran et al.Our computational tools for searching, exploring, and sharing personal photographs are falling behind the rapid pace at which these images are being captured digitally. The use of automatic face recognition to categorize images according to the people in them is one potential solution. Accurate recognition on the Internet scale, however, presents the seemingly insurmountable challenge of picking out specific people … …Journal of Computer Science, Vol. 22, Issue 3 · 20 Mar 2026 · 1,978 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAbnormalities in Ultrasonic (C-Scan) Images of Composite Structures: Impact Damaged Versus Hole DamagedMahmoud Zaki IskandaraniThis paper is about applying image processing to detect different types and levels of damage in composite structures using in C-scan images produced by ultrasonic testing. This method plays an important role as it can detect any discontinuities or flaws in the specimen. To analyze such critical image in an, automated inspection environment an image processing method that correlates Threshold … …Journal of Computer Science, Vol. 15, Issue 7 · 23 Jul 2019 · 8,230 accessesView PDFCite