02587nam 22005775 450 991048462890332120251113180313.0981-15-0853-410.1007/978-981-15-0853-0(CKB)4100000009836951(MiAaPQ)EBC5967244(DE-He213)978-981-15-0853-0(PPN)243770529(EXLCZ)99410000000983695120191024d2020 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierTexture Feature Extraction Techniques for Image Recognition /by Jyotismita Chaki, Nilanjan Dey1st ed. 2020.Singapore :Springer Nature Singapore :Imprint: Springer,2020.1 online resource (xiv, 100 pages) illustrationsSpringerBriefs in Computational Intelligence,2625-3712981-15-0852-6 Introduction -- Statistical Texture Features -- Structural Texture Features -- Signal Processed Texture Features -- Model Based Texture Features -- Applications of Texture Features.The book describes various texture feature extraction approaches and texture analysis applications. It introduces and discusses the importance of texture features, and describes various types of texture features like statistical, structural, signal-processed and model-based. It also covers applications related to texture features, such as facial imaging. It is a valuable resource for machine vision researchers and practitioners in different application areas.SpringerBriefs in Computational Intelligence,2625-3712Computational intelligenceSignal processingComputer visionComputational IntelligenceSignal, Speech and Image ProcessingComputer VisionComputational intelligence.Signal processing.Computer vision.Computational Intelligence.Signal, Speech and Image Processing.Computer Vision.621.367Chaki Jyotismitaauthttp://id.loc.gov/vocabulary/relators/aut1226856Dey Nilanjanauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9910484628903321Texture Feature Extraction Techniques for Image Recognition2848704UNINA