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Pasture species belonging to poaceae and fabaceae families constitute of essential elements to maintain natural and cultivated regions. Their balance and productivity are key factors for good functioning of the grassland ecosystems. The study is based on a process of image processing. First of all an individual signature is defined while considering geometric characteristics of each family. Then,...
Blind steganalysis techniques are able to detect the presence of secret messages embedded in digital media files, such as images, video, and audio, with an unknown steganography algorithm. This paper present an image steganalysis method based on Evidential K-Nearest Neighbors (EV-knn). Originality of this work is the use of theoretical framework of Belief functions on different subspaces of features...
The estimation of dependence relationships between variables is generally performed using probabilistic models. However, these models are not adapted to imprecise data and they cannot easily take into account symbolic information such as experts opinions. On the contrary, evidence theory also called theory of belief function, allow to integrate these kinds of uncertainties. In this paper we propose...
In this paper, we explore an original way to compute texture features for colour images in a vector process. To do it, we used a dedicated approach for colour mathematical morphology using distance function. We show in this paper the scientific construction of morphological spectra. We compare the obtained morphological spectra using different colour mathematical morphology methods existing in from...
We developed a distance-based formalism adapted to colour mathematical morphology. To extend the morphological operators to multispectral domain, a suitable distance function between two spectra has to be specified and selected. In order to compare the behaviour of different distance functions, we apply linear transformations on basic spectrum. Then we compare the impact of the distance function choice...
Often, the mathematical morphology is reduced to the ordering construction and the structuring elements are limited to flat shapes. In this paper, we propose a new method based on concept of convergence. Within this proposition, the definition of non-flat structuring element is now possible. By extending the mathematical morphology hit-or-miss transform to the color, we show that these formalisms...
In this paper, a method of specific colored area extraction into a color image is presented. Usual color segmentation or edge detection operators perform a global processing on the image. Thus, every area into an image is detected. The whole image is subdivided into several region by labeled pixels, or boundaries in case of an edge detection. Our purpose is to extract only specific areas into an image...
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