A note on the gradient of a multi-image
Computer Vision, Graphics, and Image Processing - Lectures notes in computer science, Vol. 201 (G. Goos and J. Hartmanis, Eds.)
Robust regression and outlier detection
Robust regression and outlier detection
Modeling Light Reflection for Computer Color Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
A physical approach to color image understanding
International Journal of Computer Vision
Surface Identification Using the Dichromatic Reflection Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
A framework for the construction of reflectance maps for machine vision
CVGIP: Image Understanding
IEEE Transactions on Pattern Analysis and Machine Intelligence
Adaptive Split-and-Merge Segmentation Based on Piecewise Least-Square Approximation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Color Space Analysis of Mutual Illumination
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiresolution Color Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Anisotropic diffusion of multivalued images with applications to color filtering
IEEE Transactions on Image Processing
Hybrid image segmentation using watersheds and fast region merging
IEEE Transactions on Image Processing
Image segmentation and analysis via multiscale gradient watershed hierarchies
IEEE Transactions on Image Processing
Color image segmentation by analysis of subset connectedness and color homogeneity properties
Computer Vision and Image Understanding
Unsupervised multiscale segmentation of color images
Pattern Recognition Letters
An efficient PCA-based color transfer method
Journal of Visual Communication and Image Representation
Fast registration of remotely sensed images for earthquake damage estimation
EURASIP Journal on Applied Signal Processing
Color PCA eigenimages and their application to compression and watermarking
Image and Vision Computing
Color image segmentation by analysis of subset connectedness and color homogeneity properties
Computer Vision and Image Understanding
On contrast-preserving visualisation of multispectral datasets
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part I
Relative color polygons for object detection and recognition
RSCTC'06 Proceedings of the 5th international conference on Rough Sets and Current Trends in Computing
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A framework for color image segmentation is presented, which combines color histogram analysis and region merging approach. Its main goal is to segment an image at material boundaries (i.e., discontinuities of reflectance properties) while ignoring spatial color inhomogeneities of uniformly pigmented (colored) objects, caused by accidents of illumination and viewing geometry. Theoretical examination of light spectrum transformations upon light reflection from material surfaces and upon interaction with a sensor system shows that in a wide variety of viewed scenes (even containing interreflections and highlight areas) uniformly pigmented objects are projected to the color space of the sensor as planar, linear, or point-like clusters, depending on lighting and viewing conditions and object geometry. To detect such clusters in the color space, three methods are suggested: Generalized Hough Transform method, gradient descent method, and eigenvectors method. A framework algorithm of color segmentation based on region merging approach is developed, which can use any of these methods. Testing this algorithm with both artificially generated and real images shows quite reliable results.