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Everything about Kernel (image processing)
Matrix used in image processing to alter an image
In image processing, a kernel, convolution matrix, or mask is a small matrix used for blurring, sharpening, embossing, edge detection, and more. This is accomplished by doing a convolution between the kernel and an image. Or more simply, when each pixel in the output image is a function of the nearby pixels in the input image, the kernel is that function. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Kernel (image processing)A 5-minute orientation
- Skim a recent paper: Brain tumor MRI image segmentation using an optimized multi-kernel FCM method with a pre-processing stageInfluential work since 2022
- Pick up a classic book: Kernel methods in bioengineering, signal and image processingThe most-reprinted book on the subject
- Read the landmark paper: Kernel Regression for Image Processing and ReconstructionCited 1,137 times
- Go sideways: Multidimensional systemA closely related topic
- Go sideways: Circulant matrixA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Kernel Regression for Image Processing and Reconstruction
Nonlinear image processing by a rotating kernel transformation
Infield corn kernel detection using image processing, machine learning, and deep learning methodologies under natural lighting
CORN KERNEL CROWN SHAPE IDENTIFICATION USING IMAGE PROCESSING
PKCS: A Polynomial Kernel Family With Compact Support for Scale- Space Image Processing
Medical image enhancement strategy based on morphologically processing of residuals using a special kernel
Quantitative damage detection of direct maize kernel harvest based on image processing and BP neural network
Predicting kernel processing score of harvested and processed corn silage via image processing techniques
🆕 Influential since 2022
Brain tumor MRI image segmentation using an optimized multi-kernel FCM method with a pre-processing stage
Assessing kernel processing score of harvested corn silage in real-time using image analysis and machine learning
Convolutional kernel with PrCaMnOx-based resistive random-access memory for neuromorphic image processing
Welded Pipe Defect Detection Enhancement Using Regularized Kernel Estimation-Based Image Processing in Radiographic Testing
Fourth-order partial differential diffusion model with adaptive Laplacian kernel for low-dose CT image processing
📚 Books worth reading
Kernel methods in bioengineering, signal and image processingManel Martinez-Ramon · 2007
Kernel methods in bioengineering, signal and image processingGustavo Camps-Valls · 2007
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
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