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Image Analysis: Focus on Texture Similarity [PDF]
Proceedings of the IEEE, 2013 Texture is an important visual attribute both for human perception and image analysis systems. We review recently proposed texture similarity metrics and applications that critically depend on such metrics, with emphasis on image and video compression and content-based retrieval.
David Neuhoff +2 more
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Downscaling Factor Detection of Pre-JPEG Compressed Images Based on Texture-Immune [PDF]
Jisuanji gongcheng, 2022 The popularity of image editing tools makes JPEG images increasingly vulnerable to tampering, and the resampling operation method makes forged images more realistic through geometric transformation.Resamplingof the detection of JPEG images is therefore ...
DANG Lianghui, ZHANG Yujin, LU Dongsheng
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Multiscale Analysis for Improving Texture Classification
Applied Sciences, 2023 Information from an image occurs over multiple and distinct spatial scales. Image pyramid multiresolution representations are a useful data structure for image analysis and manipulation over a spectrum of spatial scales.
Steve Tsham Mpinda Ataky +4 more
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Bleeding Detection in Gastrointestinal Images using Texture Classification and Local Binary Pattern Technique: A Review [PDF]
E3S Web of Conferences, 2020 Texture analysis has proven to be a breakthrough in many applications of computer image analysis. It has been used for classification or segmentation of images which requires an effective description of image texture. Due to high discriminative power and
Goyal Aparna, Gunjan Reena
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Texture Feature Extraction Using Tamura Descriptors and Scale-Invariant Feature Transform [PDF]
مجلة التربية والعلم, 2023 The ability to recognize and distinguish between various textures in an image is made possible by feature extraction, which is a fundamental step in computer vision and image processing. Traditional methods of texture analysis fall short of capturing the
Hasan Maher Ahmed
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Remote Sensing, 2022 This paper presents a study on the effectiveness of texture analysis of remote sensing imagery depending on the type and spatial resolution of the source image.
Przemysław Kupidura, Katarzyna Lesisz
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Object-based multiscale segmentation incorporating texture and edge features of high-resolution remote sensing images [PDF]
PeerJ Computer Science, 2023 Multiscale segmentation (MSS) is crucial in object-based image analysis methods (OBIA). How to describe the underlying features of remote sensing images and combine multiple features for object-based multiscale image segmentation is a hotspot in the ...
Xiaole Shen, Yiquan Guo, Jinzhou Cao
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An image-processing analysis of skin textures [PDF]
Skin Research and Technology, 2010 Colour and coarseness of skin are visually different. When image processing is involved in the skin analysis, it is important to quantitatively evaluate such differences using texture features. In this paper, we discuss a texture analysis and measurements based on a statistical approach to the pattern recognition.
SPARAVIGNA, Amelia Carolina +1 more
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Contour and Texture Analysis for Image Segmentation [PDF]
International Journal of Computer Vision, 2000 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jitendra Malik +3 more
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A Completed Multiple Threshold Encoding Pattern for Texture Classification
Image Analysis and Stereology, 2023 The binary pattern family has drawn wide attention for texture representation due to its promising performance and simple operation. However, most binary pattern methods focus on local neighborhoods but ignore center pixels.
Bin Li, Yibing Li, Q. M. Jonathan Wu
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