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Everything about Image texture
Small elements of a computer graphic
An image texture is the small-scale structure perceived on an image, based on the spatial arrangement of color or intensities. It can be quantified by a set of metrics calculated in image processing. Image texture metrics give us information about the whole image or selected regions. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Image textureA 5-minute orientation
- Skim a recent paper: Memorizing Structure-Texture Correspondence for Image Anomaly DetectionInfluential work since 2022
- Pick up a classic book: Digital image processingThe most-reprinted book on the subject
- Read the landmark paper: Textural Features for Image ClassificationCited 18,834 times
- Go sideways: Region growingA closely related topic
- Go sideways: Image segmentationA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Textural Features for Image Classification
Simultaneous structure and texture image inpainting
Image texture analysis: methods and comparisons
Fast Cartoon + Texture Image Filters
Texture feature performance for image segmentation
Adaptive perceptual color-texture image segmentation
Image retrieval by texture similarity
Cartoon-Texture Image Decomposition Using Blockwise Low-Rank Texture Characterization
🆕 Influential since 2022
Memorizing Structure-Texture Correspondence for Image Anomaly Detection
Structure-Texture Aware Network for Low-Light Image Enhancement
Pavement texture depth estimation using image-based multiscale features
AuSR2: Image watermarking technique for authentication and self-recovery with image texture preservation
W-Net: Structure and Texture Interaction for Image Inpainting
📚 Books worth reading
Digital image processingBernd Jähne · 1991- 📕3D engine design for virtual globesPatrick Cozzi · 2011
Visual TextureMichal Haindl · 2013
HLSL Development CookbookDoron Feinstein · 2013- 📕Direct volume rendering with shading via three-dimensional texturesAllen Van Gelder · 1996
Texture analysis in machine visionMatti Pietikäinen · 2000
Blender 26 Cycles Materials And Textures CookbookEnrico Valenza · 2013- 📕A review of image classification procedures with special emphasis on the grey-level cooccurrence matrix method for texture analysisDanielle Marceau · 1989
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
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- Otsu's method In computer vision and image processing, Otsu's method, named after Nobuyuki Otsu (大津展之, Ōtsu Nobuyuki), is used to perform automatic image thresholding…
- Kernel (image processing) In image processing, a kernel, convolution matrix, or mask is a small matrix used for blurring, sharpening, embossing, edge detection, and more. This is…
- Co-occurrence matrix A co-occurrence matrix or co-occurrence distribution (also referred to as : gray-level co-occurrence matrices GLCMs) is a matrix that is defined over an…
- Canny edge detector The Canny edge detector is an edge detection operator that uses a multi-stage algorithm to detect a wide range of edges in images. It was developed by…
- Saliency map In computer vision, a saliency map is an image that highlights either the region on which people's eyes focus first or the most relevant regions for machine…
- Thresholding (image processing) In digital image processing, thresholding is the simplest method of segmenting images. From a grayscale image, thresholding can be used to create binary…