Research ArticleOpen accessIn the keywordsSeparable Watermarking Technique Using the Biological Color ModelDavid Nino, Moussa Abdallah, Bassam HammoProblem statement: The issue of having robust and fragile watermarking is still main focus for various researchers worldwide. Performance of a watermarking technique depends on how complex as well as how feasible to implement. These issues are tested using various kinds of attacks including geometry and transformation. Watermarking techniques in color images are more challenging than gray images in terms … …Journal of Computer Science, Vol. 5, Issue 8 · 31 Aug 2009 · 6,611 accessesView PDFCite
Research ArticleOpen accessIn the keywordsColor Image Reconstruction Using A New R'G'I ModelAkram A. Moustafa, Ziad A. AlqadiProblem statement: A new color model for digital image was discussed; this model can be used to separate low and high frequencies in the image without loosing any information from the image. Approach: A comparative study between different color models (RGB, HSI) applied to a very large microscopic image analysis and the proposed model was presented. Such analysis of different … …Journal of Computer Science, Vol. 5, Issue 4 · 30 Apr 2009 · 7,486 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAcceleration of Image Processing Using New Color ModelMahdi Alshamasin, Riad Al-kasasbeh, A. Khraiwish et al.The theoretical outcomes and experimental results of new color model designed for accelerated image processing together with implementations of designed model to software of image processing are presented in the study. This model, as it will be shown below, may be used in modern real time video processing applications. The developed model allows to increase a speed of image processing … …American Journal of Applied Sciences, Vol. 6, Issue 5 · 31 May 2009 · 7,404 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing Plant Disease Identification Through Hyperspectral Imaging and AC-FNet FrameworkDhason Lita Pansy, Malaichamy MuraliThe precise identification of plant diseases is essential for optimizing agricultural practices. The impact of these diseases on food production often leads to significant revenue loss. Detecting diseases that primarily manifest symptoms in plant leaves has conventionally depended on visual inspection by plant pathologists. However, modern methodologies use machine learning and computer vision techniques to facilitate disease identification, thus addressing … …Journal of Computer Science, Vol. 21, Issue 5 · 21 May 2025 · 8,568 accessesView PDFCite
Research ArticleOpen accessIn the abstractImaging Spectroscopy and Light Detection and Ranging Data Fusion for Urban Features ExtractionMohammed Idrees, Helmi Zulhaidi Mohd Shafri, Vahideh SaeidiThis study presents our findings on the fusion of Imaging Spectroscopy (IS) and LiDAR data for urban feature extraction. We carried out necessary preprocessing of the hyperspectral image. Minimum Noise Fraction (MNF) transforms was used for ordering hyperspectral bands according to their noise. Thereafter, we employed Optimum Index Factor (OIF) to statistically select the three most appropriate bands combination from … …American Journal of Applied Sciences, Vol. 10, Issue 12 · 28 Oct 2013 · 7,152 accessesView PDFCite