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Everything about Color layout descriptor
In digital image and video processing, a color layout descriptor (CLD) is designed to capture the spatial distribution of color in an image. The feature extraction process consists of two parts: grid based representative color selection and discrete cosine transform with quantization. Wikipedia →
🧠Start here: a 6-step reading path
- Read the overview: Color layout descriptorA 5-minute orientation
- Pick up a classic book: Simulated Evolution and LearningThe most-reprinted book on the subject
- Read the landmark paper: A Secure Image Outsourcing Using Privacy-Preserved Local Color Layout Descriptor in Cloud EnvironmentCited 28 times
- Go sideways: Bhattacharyya distanceA closely related topic
- Go sideways: Discrete wavelet transformA closely related topic
đź“– Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
A Secure Image Outsourcing Using Privacy-Preserved Local Color Layout Descriptor in Cloud Environment
Content-Based Image Retrieval Using Color Layout Descriptor, Gray-Level Co-Occurrence Matrix and K-Nearest Neighbors
A Novel Method for Feature Extraction using Color Layout Descriptor (CLD) and Edge histogram Descriptor (EHD)
Content based Image Retrieval (CBIR) System using Threshold based Color Layout Descriptor (CLD) and Edge Histogram Descriptor (EHD)
đź“š Books worth reading
Simulated Evolution and LearningLam Thu Bui · 2012
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
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