6533b836fe1ef96bd12a14ee
RESEARCH PRODUCT
Mathematical Morphology for Color Images: An Image-Dependent Approach
Francisco VegaraEsther DuraJ. DomingoXaro Benaventsubject
Color histogramArticle Subjectbusiness.industryColor normalizationGeneral Mathematicslcsh:MathematicsGeneral EngineeringHistogram matchingComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONMathematical morphologylcsh:QA1-939lcsh:TA1-2040HistogramComputer Science::Computer Vision and Pattern RecognitionDilation (morphology)Computer visionArtificial intelligencebusinesslcsh:Engineering (General). Civil engineering (General)SmoothingHistogram equalizationMathematicsComputingMethodologies_COMPUTERGRAPHICSdescription
This paper proposes one possibility to generalize the morphological operations (particularly, dilation, erosion, opening, and closing) to color images. First, properties of a desirable generalization are stated and a brief review is done on former approaches. Then, the method is explained, which is based on a total ordering of the colors in an image induced by its color histogram; this is valid for just one image and may present problems in smoothly coloured images. To solve these drawbacks a refinement consisting of smoothing the histogram and using a joint histogram of several images is presented. Results of applying the so-defined morphological operations on several sets of images are shown and discussed.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2012-01-01 | Mathematical Problems in Engineering |