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243 results for “Image Analysis”
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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 abstractEffects of Carcass Weight and Muscle on Texture, Structure, Rheological Properties and Myofibre Characteristics of Roe DeerJoanna Żochowska-Kujawska, Kazimierz Lachowicz, Małgorzata Sobczak, Leszek GajowieckiMyofibre characteristic, texture, structure and rheological properties of selected muscles (BF, SM and L) of roe deer of different carcass weight were compared. Muscle texture and rheological properties was determined with the TPA and relaxation test, respectively, performed with a Instron 1140 device. Fibre type percentage and structural elements (muscle fibre cross sectional area and perimysium thickness) were measured in … …American Journal of Animal and Veterinary Sciences, Vol. 2, Issue 4 · 31 Dec 2007 · 7,579 accessesView PDFCite
Research ArticleOpen accessIn the abstractAutomatic Arabic Hand Written Text Recognition SystemIsmael Ahmad JannoudDespite of the decent development of the pattern recognition science applications in the last decade of the twentieth century and this century, text recognition remains one of the most important problems in pattern recognition. To the best of our knowledge, little work has been done in the area of Arabic text recognition compared with those for Latin, Chins and Japanese … …American Journal of Applied Sciences, Vol. 4, Issue 11 · 30 Nov 2007 · 7,315 accessesView PDFCite
Research ArticleOpen accessIn the abstractClassification of Squamous Cell Carcinoma Based On Color and Textural Features in Microscopic Images of Esophagus TissuesP. S. Hiremath, Y. Humnabad Iranna, Jagadeesh D. PujariThis paper presents a method for feature extraction using color and texture from microscopic images of esophagus tissues obtained from the abnormal regions of human esophagus detected through endoscopy. This method is used for classification of Squamous Cell Carcinoma (SCC) of esophagus, namely, poorly differentiated SCC, moderately differentiated SCC, and well differentiated SCC. Three different color spaces, namely, HSV, YCbCr, … …Journal of Computer Science, Vol. 3, Issue 7 · 31 Jul 2007 · 6,874 accessesView PDFCite
Research ArticleOpen accessIn the abstractHemisphere Sizing from Linear Intercept MeasurementWilfried GilleThe stereological problem of unfolding the hemisphere radius distribution from the chord length distribution is analyzed. Let a stationary isotropic process of hemispheres be given. The hemispheres have random diameters and are isotropically uniformly randomly orientated in space. A straight line probe yields a process of intercepts. The inverse problem of re-obtaining the size distribution of the hemispheres in terms … …Journal of Mathematics and Statistics, Vol. 1, Issue 3 · 30 Sep 2005 · 6,146 accessesView PDFCite
Research ArticleOpen accessIn the abstractSewage Treatment Plant Sludge: A Source of Potential Microorganism for Citric Acid ProductionParveen Jamal, Md. Zahangir Alam, M. Ramlan et al.This research emphasizes on the utilization of Sewage Treatment Plant (STP) sludge, which is an inexpensive and easily available raw material and a good source for growth of microorganisms because it has enough nutrients and trace elements. This can be considered as an alternative cost effective solution for waste management in addition to the production of a value added product … …American Journal of Applied Sciences, Vol. 2, Issue 8 · 31 Aug 2005 · 8,933 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Improved Scheme for Digital Watermarking Using Functional Link Artificial Neural NetworkBanshidhar Majhi, Hasan ShalabiThe present study proposes a novel technique for copyright protection by utilizing digital watermarking of Images. The watermark is embedded and detected by using Functional Link Artificial Neural Network (FLANN) and Discrete Cosine Transform (DCT). The exhaustive simulation results of the proposed scheme show improved performance over the existing methods in all cases, i.e. when the watermarked image is subjected … …Journal of Computer Science, Vol. 1, Issue 2 · 30 Jun 2005 · 6,861 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordEarly Plant Disease Detection Using Graph Isomorphic Networks: Enhancing Crop Yield Through Leaf AnalysisD. Sumathi, Sreejyothsna Ankam, Pravin Prakash Adivarekar et al.The economy of Tanzania is mostly driven by agriculture. Disease is one of the reasons that contributes to the low production of staple foods like cassava and maize, alongside climate change. Loss of income and food security are the results. In order to detect the diseases early, preventative measures are required. A potential option for farmers could be the use … …Journal of Computer Science, Vol. 21, Issue 9 · 15 Oct 2025 · 3,101 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordAnalysis and Design of Protocol for the Reconstruction of Computer Field Model Using Dron and PhotogrammetryBoris Tunjić, Andrija Bernik, Andrej ČepOne of the main challenges in aerial photogrammetry is the lack of standardization in the process of data integration, which is the first step in 3D reconstruction. This study analyses the influence of the distance from the camera to the subject of the recording, the influence of different overlap percentages in photography as well as the difference between the three … …Journal of Computer Science, Vol. 19, Issue 12 · 15 Nov 2023 · 5,031 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA Convolutional Neural Network Approach for Skin Lesion Classification Using Imbalanced Dataset with Image AugmentationZhyar Yassin Abdalla, Nor Hazlyna Harun, Mohammed Shihab AhmedA significant threat to people's health all over the world is skin cancer. The purpose of this research is to improve the detection of skin cancer by utilizing a CNN classification model that makes use of preprocessing and augmentation techniques. The HAM10000 dataset is used, and the imbalance it contains is addressed by resizing the images to 120×120 pixels and … …Journal of Computer Science, Vol. 20, Issue 11 · 10 Sep 2024 · 5,427 accessesView PDFCite