International Journal of Image Processing and Pattern Recognition

• Image analysis:Picture processing, pattern recognition, image analysis, image representation, noise sensitivity, information redundancy, regular moments, Legendre moments, Zernike moments, rotational moments, complex momentsImage analysis, Moment methods, Pattern Recognition, Image reconstruction, Polynomials, Stochastic resonance, Image representation, Pattern analysis, Image recognition, Image sampling.
• Image understanding: Algorithm component, process definition, medical image understanding, domain-specific language XML-based process definition language, object recognition, computer vision, applied mathematics, signal analysis, artificial intelligence, medical image understanding process definition language, MPDL, medical image analysis software engineering, medical image understanding algorithm, software component model.
• Digital image processing: Digital image processing, courseware use, image understanding, undergraduate group projects, courseware design, image analysis, undergraduate courses, applied image processing, computer vision, teaching computer-aided instruction, Machine vision, Image processing.
• Text compression: XML compression, text compression markup-aware text compression,markup-awareness, Unix-like tool, XML data, XML markup data compression, text analysis, XML, Protocols, Data compression, Educational institutions, Roads, Runtime, Hybrid power systems.
• Still image compression: Multimedia, telecommunication systems, still image compression, color transformation, rounding error accumulation, still, image compression, color transformations, transform techniques, predictive techniques, linear transformations, lossless compression image coding, Image color analysis, Roundoff errors, Vectors, Transform coding, Quantization, Biomedical imaging, Data processing, TV, Production.
• Video image compression: Hybrid block/segment-based video compression, very low bit rate compression, algorithmic architecture, coding algorithms, image frames, block-based algorithm, segment-based algorithm, video coding, compression ratios, visual quality, image sequence, block-based coding, ITU-T H.263, block matching,2D translations, color coefficients, DCT coefficients, spatial accuracy, spline approximation, polygon approximation, motion prediction, affine transform data compression, video coding, discrete cosine transforms, transform coding, image matching, motion estimation.
• Feature extraction: Global feature extraction, local feature extraction, hierarchical MAX method, HMAX method, pixel-level feature extraction, biologically inspired feature extraction, HSV color space model, Gaussian filter, standard HMAX method, biometric features, age estimation, surveillance, security, social economic benefit distribution, human population, digital revolution, facial feature extraction.
• Linear discriminate analysis: Genetic algorithms, Algorithm design, and analysis, Data mining, Infrared spectra, Calibration, Bayesian methods, Statistics, Error analysis, Classification algorithms linear classifier, genetic arithmetic, feature wavelength.

Open Access Statement

International Journal of Image Processing and Pattern Recognition is an open-access publication which provides immediate open access to its content, supporting a greater global exchange of knowledge. All published works are freely available to a worldwide audience upon publication. Publication is subject to an article processing charge (APC), ensuring articles remain freely accessible online in perpetuity under a Creative Commons license.

Publication Ethics Statement

International Journal of Image Processing and Pattern Recognition fully adheres to the Code of Conduct of the Committee on Publication Ethics (COPE) and its Best Practice Guidelines. The editorial team enforces a rigorous peer-review process with strict ethical policies to ensure the addition of high-quality scientific studies to scholarly publication.

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All information, opinions, and views mentioned in International Journal of Image Processing and Pattern Recognition represent the authors and the contributions of the articles. Publication of articles, advertisements, or product information does not constitute endorsement or approval by the journal. The data and opinions appearing in the articles are the responsibility of the contributors concerned.