منابع مشابه
Morphological Interpolation and Color Images
This paper regards the application of interpolation tools offered by mathematical morphology to color images. The approach presented here uses the lexicographic ordering to compare values of the pixels. These comparisons are performed in a new, transformed color space the comparative color space, which is essential with respect to the visual importance of color channels for the human perception...
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Image sharpening refers to any enhancement technique that highlights edges and fine details in an image. The conventional methods for sharpening the images has several drawbacks such as, complex and slow calculations, color loss, anisotropy effects etc. In this paper, a new fuzzy filter is proposed for sharpening the color images. The sharpening fuzzy filter consists of two sub-filters. The fir...
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Abstract The subject of this paper is the semantically based postprocessing of color–coded images such as classification results. We outline why the classical definition of mathematical morphology suffers if it is used for processing of coded image data. Therefore we provide an extension for morphological operations such as dilation, erosion, opening, and closing. With a new understanding of mo...
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Template matching is a fundamental problem in image analysis and computer vision. It has been addressed very early by Mathematical Morphology, through the well-known Hit-or-Miss Transform. In this chapter, we review most of the existing works on this morphological template matching operator, from the standard case of binary images to the (not so standard) case of grayscale images and the very r...
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ژورنال
عنوان ژورنال: Bulletin of the Polish Academy of Sciences Technical Sciences
سال: 2016
ISSN: 2300-1917
DOI: 10.1515/bpasts-2016-0012