Search results for: Majdi Khoudeir
Computer Vision and Image Understanding > 2015 > 133 > Complete > 90-101
Pattern Recognition Letters > 2003 > 24 > 12 > 2031-2045
Pattern Recognition Letters > 2001 > 22 > 6-7 > 759-768
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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,...
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With the advent of the digital camera, a common popular imaging processing is high dynamic range (HDR) that aims to overcome the technological limitations of the irradiance sensor dynamic range. In this paper, we will present a new method to combine low dynamic range images (LDR) for HDR processing. This method is based on the theory of evidence. Without a prior knowledge of the sensor intrinsic parameters...
chapter
In this paper, we propose a method for taking into account lighting conditions for photometric stereo. Indeed, with its classic form, the photometric stereo requires directional light sources and uniform intensity to determine the geometry and albedo of a surface from a reverse illumination model. These constraints are usually not realistic in practice for compact systems, our formulation thus takes...
chapter
This paper shows the information criteria (IC) performances in feature selection framework. Feature selection aims to select a representative subset among a wide set of features. We apply this approach to classify an hand segmented image. The performance is tested using various feature selection schemes (SFS, SBS, SFFS and SBFS) to select the candidate subsets. The accuracy of the approach is based...
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Road surface microtexture (sub-millimeter scale) is essential for pavement skid-resistance. However, its measurement is only possible in the laboratory on cores taken from trafficked roads, and is time consuming. For efficient road monitoring, it is necessary to develop faster methods usable on-site.Collaboration has been developed for 2 years between LCPC and the laboratory Signal, Image and Communication...
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We present a new method for computing the movement parameters of textured surfaces moving in a three dimensional environment. This method is based on the fact that the autocorrelation functions of an image and of its affine transformed version are linked by the same affine transformation applied to their axes. We use the Euler's angles and the weak perspective projection. We show how to compute directly...
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A new method for invariant feature extraction on textured images undergoing affine transformations is presented. This is performed by transformation of the autocorrelation function (ACF) followed by determination of an invariant criterion which is the sum of the coefficients of the discrete correlation matrix. Experimental results support the effectiveness of the proposed approach.
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