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Research ArticleOpen accessIn the abstractAn Efficient Low Complexity Lossless Coding Algorithm for Medical ImagesS. E. Ghrare, M.A. Mohd. Ali, K. Jumari, M. IsmailProblem statement: Nowadays a large number of various medical images are generated from hospitals and medical centers with sophisticated image acquisition devices, the movement toward digital images in radiology presents the problem of how to conveniently and economically store, retrieve and transmit the volume of digital images. Thus digital image data compression is necessary in order to solve this problem. … …American Journal of Applied Sciences, Vol. 6, Issue 8 · 31 Aug 2009 · 7,091 accessesView PDFCite
Research ArticleOpen accessIn the abstractRadiation Induced DNA Double Strand Break Studies of a Metal Sensitive Novel Bacterial Isolate from East Calcutta WetlandSanhita Chowdhury, Anindita Chakraborty, Ashoke Ranjan Thakur, Shaon Ray ChaudhuriProblem statement: This study was an attempt to isolate anaerobic microbes with potential for DNA double strand break repair using methanogen specific medium (DSMZ 120) from East Calcutta Wetland in India. It also intended to verify the specificity of the medium for isolation of the desired family of microbe. Approach: Culture based technique was used to obtain the pure isolate … …American Journal of Environmental Sciences, Vol. 5, Issue 3 · 30 Jun 2009 · 7,123 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimized Set of RST Moment InvariantsKhalid M. HosnyMoment invariants are widely used in image processing, pattern recognition and computer vision. Several methods and algorithms have been proposed for fast and efficient calculation of moment's invariants where numerical approximation errors are involved in most of these methods. In this paper, an optimized set of moment invariants with respect to rotation, scaling and translation is presented. An accurate method … …American Journal of Applied Sciences, Vol. 5, Issue 6 · 30 Jun 2008 · 7,069 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Improved Implementation of Brain Tumor Detection Using Segmentation Based on Neuro Fuzzy TechniqueS. Murugavalli, V. RajamaniImplementation of a neuro-fuzzy segmentation process of the MRI data is presented in this study to detect various tissues like white matter, gray matter, csf and tumor. The advantage of hierarchical self organizing map and fuzzy c means algorithms are used to classify the image layer by layer. The lowest level weight vector is achieved by the abstraction level. We … …Journal of Computer Science, Vol. 3, Issue 11 · 30 Nov 2007 · 7,107 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptiCNN: Local thresholding segmentation and CNN with SVM Approach for Diabetic Retinopathy Detection and Classification of Fundus ImagesAnju Mishra, Mrinal Pandey, Laxman SinghDiabetic Retinopathy (DR) is a progressive eye disease that can lead to vision loss and blindness if left untreated. Ophthalmologists diagnose DR using medical imaging modalities such as fundus photography and optical coherence tomography (OCT); however, manual interpretation of these images is time-consuming and subject to inter-observer variability. While DR is irreversible, vision loss can be prevented through early detection … …Journal of Computer Science, Vol. 21, Issue 10 · 15 Dec 2025 · 2,153 accessesView PDFCite
Research ArticleOpen accessIn the abstractCrop Disease Detection Using Deep Learning Techniques on ImagesKinjal Vijaybhai Deputy, Kalpdrum Passi, Chakresh Kumar JainAgriculture plays a crucial role in the economic development of many countries and sustains the global population despite facing various challenges like climate change, pollinator decline, and plant diseases. These threats to food security highlight the need for innovative solutions to prevent crop loss. Leveraging smartphone technology for automated image recognition-based disease diagnosis has emerged as a promising approach, thanks … …Journal of Computer Science, Vol. 19, Issue 12 · 25 Oct 2023 · 7,497 accessesView PDFCite
Research ArticleOpen accessIn the abstractImplementation of a Logistic Map to Calculate the Bits Required for Digital Image Steganography Using the Least Significant Bit (LSB) MethodWikky Fawwaz Al Maki, Indra Bayu Muktyas, Samsul Arifin et al.The LSB method in steganography usually only uses the last bit or the last few bits that are the same for all pixels. This is very easy to solve by using a bitwise shift left operation so that the last bit becomes the leading bit (MSB). Some techniques combine steganography and cryptography through two different processes. In this study, a … …Journal of Computer Science, Vol. 19, Issue 6 · 11 May 2023 · 5,795 accessesView PDFCite
Research ArticleOpen accessIn the abstractExtensive Analysis on Images Encryption using Hybrid Elliptic Curve Cryptosystem and Hill CipherSaniah Sulaiman, Zurina Mohd HanapiThe advancement of communication technology helps individual to share images through an Internet. However, the sharing through insecure channels may expose the images to certain attacks that will compromise their confidentiality. Image encryption is one of the methods used to protect against the confidentiality threat. A Hill Cipher has been applied in image encryption because of its simple operation and … …Journal of Computer Science, Vol. 17, Issue 3 · 2 Apr 2021 · 6,615 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Vision System Based on Time-of-Flight and RGB Cameras Applied to Robotic Tree Peony Fruit HarvestingJiaming Liu, Dong Zhao, Tianxing Li, Jian ZhaoTree peony is a deciduous shrub endemic to China and the Peony Seed Oil (PSO) is an important plant oil resource. However, at present, fruits harvesting of peony are mainly completed by manual work with low efficiency. In response to the need for a mechanized operation, a multi-sources vision system based on Time-Of-Flight (TOF) and RGB cameras was set up … …American Journal of Biochemistry and Biotechnology, Vol. 16, Issue 3 · 19 Aug 2020 · 6,329 accessesView PDFCite
Research ArticleOpen accessIn the abstractStructural Geodesic-Tchebychev Transform: An Image Similarity Measure for Face RecognitionAli Nadhim Razzaq, Zahir M. Hussain, Hind Rustum MohammedThis work presents a new holistic measure for face recognition. Face recognition involves three steps: Face Detection, Feature Extraction and Matching. In the face detection process to identify the face area in face images, Viola-Jones algorithm has been used. Feature extraction is based on performing double-transformation, where discrete Tchebychev transform is performed on the geodesic distance transform of the grayscale … …Journal of Computer Science, Vol. 12, Issue 9 · 29 Nov 2016 · 7,640 accessesView PDFCite