chikr el-mezouar Miloud

Verified

chikr el-mezouar verified their affiliation via an institutional email.

Learn more

Verified

chikr el-mezouar verified their affiliation via an institutional email.

Learn more

• Professor
• Professor (Full) at Djillali Liabes University Sidi Bel Abbès

Dans cette communication, nous présentons une méthode de fusion d’images multi-spectrales et panchromatiques issues du satellite WorldView-2. Cette méthode se base sur la transformée IHS. La réponse spectrale du capteur est utilisée afin d’adapter l’IHS aux images de WorldView-2. L’algorithme proposé est comparé avec d’autres méthodes qui sont basé...

Automatic fruit freshness categorization presents a challenging task in agriculture. In fact, this process is crucial for ensuring quality and meeting consumer expectation. In this work, particular attention is given to the spoilage of oranges, this phenomenon is caused by poor conservation methods leading to diseases, especially fungal infect...

The demand for high accuracy from image registration processes is often inextricably coupled with an increase in the complexity of the underlying algorithms. This complexity might not be problematic in environments with lax resource and timing constraints, but it can render embedded implementations of such algorithms completely infeasible. The purp...

Precise and automatic plant disease detection represent a fundamental research topic. Indeed, traditional or manual disease detection can be laborious, inaccurate and time-consuming. In this work, a particular attention is given to automatic potato late blight disease detection. In fact, this devastating pathogen leads every year to a significant r...

This paper presents VCMalloc, a custom memory allocator based on a new dynamic memory management approach that keeps data allocated in a contiguous form in memory. It can preserve the virtual contiguity of data even after performing different memory operations like “Reallocation” and “Free” without consuming much system resources. A novel control p...

Oriented FAST and Rotated BRIEF (ORB) is becoming the method of choice in real-time feature matching applications by offering performances comparable to other state-of-the-art descriptors at a fraction of the runtime and memory requirements. These characteristics have prompted multiple researchers to propose FPGA-based accelerators that allow for a...

K-means++ is the clustering algorithm that is created to improve the process of getting initial clusters in the K-means algorithm. The k-means++ algorithm selects initial k-centroids arbitrarily dependent on a probability that is proportional to each data-point distance to the existing centroids. The most noteworthy problem of this algorithm is whe...

In the biometric field, mono-modal biometry suffers from multiple lacks. The use of multiple biometrics has helped getting over those limitations and has allowed outperforming single biometrics in terms of recognition rate. In this paper, we propose a new approach that fuses the Gabor-Winger transform and the oriented Gabor phase information for fe...

Traffic congestion appears on road networks as vehicle use increases. Longer trip times, slower speeds and increased vehicular queuing are the major characteristics of traffic congestion. In this paper, a method for regulating traffic congestion is proposed. The main objective is to optimize traffic light control of road intersection in real time....

In remote sensing, for applications as environment monitoring, change detection based on image processing is one of the most important techniques. To reach high performance various techniques of fusion are exploited using a combination of multi-temporal, multispectral and panchromatic satellite images. A solution for handling such kind of images ho...

Cet article porte sur la segmentation des images médicales, tout particulièrement à l'exemple de l'image rétinienne. Le traitement automatique des images fournit des outils pour un meilleur suivi de la maladie de l'oeil comme pour des études cliniques sur l'efficacité d'un traitement. Nous présentons dans notre étude de cas, des approches pour la d...

In the biometric field, mono-modal biometry suffers from multiple lacks. The use of multiple biometrics has helped getting over those limitations and has allowed outperforming single biometrics in terms of recognition rate. In this paper, we propose a new approach that fuses the Gabor-winger transform and the oriented Gabor phase information for fe...

Abandoned objects detection is one of the most challenging tasks in intelligent video surveillance systems. In this paper we present a new method for detecting abandoned objects (AO) using edges instead of pixel intensities. Our main focus, is on reducing false alarms, while keeping a high positives detection rate. Based on edge information, the pr...

La nécessité d'accélérer l’acquisition et/ou d’augmenter la résolution spatiale des images par résonnance magnétique(IRM) a conduit à la proposition de plusieurs méthodes de reconstruction qui acquièrent les données de l’espace k de façon partielle. Parmi ces méthodes se trouvent celles basées sur la théorie du Compressive Sensing (CS). Les images...

In this paper we propose a new approach for the detection of abandoned objects in video. A simple blind tracking of static objects centroid technique is applied to track the motion history of the candidates. Moving objects are detected using Gaussian mixture model based background subtraction method, next, connected component analysis is performed...

In this paper, a Pan-sharpening method, using non-subsampled Contourlet Transform (NSCT) and the theory of Compressive Sensing (CS), is proposed. The NSCT is used for sparse image representation, to perform a multi-scale and directional decomposition of source images in order to express their detail and express the sparsity of their high frequency....

Multi-object tracking is a challenging task, especially when the persistence of the identity of objects is required. In this paper, we propose an approach based on the detection and the recognition. To detect the moving objects, a background subtraction is employed. To solve the recognition problem, a classification system based on sparse represent...

Nowadays, there are several satellites bearing sensors to provide images from different spectral bands at the same time, but with various resolutions and at different frequencies. In practice, there is an image captured over a wide spectral band which is known as panchromatic (PAN) image. Besides this image there are several multispectral (MS) imag...

Nowadays, there are several satellites bearing sensors to provide images from different spectral bands at the same time, but with various resolutions and at different frequencies. In practice, there is an image captured over a wide spectral band which is known as panchromatic (PAN) image. Besides this image there are at least three multispectral (M...

Two pan-sharpening methods based on the non-subsampled contourlet transform (NSCT) are proposed. NSCT is very efficient in representing the directional information and capturing intrinsic geometrical structures of the objects. It has characteristics of high resolution, shift-invariance, and high directionality. In the proposed methods, a given numb...

Image registration is the process of establishing point by point correspondence between images obtained from a same scene. This process is very useful in remote sensing, medicine, cartography, computer vision, etc. Then, the task of registration is to place the data into a common reference frame by estimating the transformations between the data se...

Earth observation satellites provide multispectral and panchromatic data having different spatial, spectral, temporal, and radiometric resolutions. The fusion of a panchromatic image having high spatial but low spectral resolutions with multispectral images having low spatial but high spectral resolutions is a key issue in many remote sensing appli...

Earth observation satellites provide multispectral and panchromatic data having different spatial, spectral, temporal, and radiometric resolutions. The fusion of a panchromatic image having high spatial but low spectral resolutions with multispectral images having low spatial but high spectral resolutions is a key issue in many remote sensing appli...

In this paper, we propose a new approach for designing histogrambased descriptors. For demonstration purpose, we generate a descriptor based on the histogram of differential-turning angle scale space (d-TASS) function and its derived data. We then compare the proposed histogram-based descriptor with the traditional histogram descriptors in terms of...

In Ikonos imagery, both multispectral (MS) and panchromatic (PAN) images are provided with different spatial and spectral resolutions. Multispectral classification detects object classes only according to the spectral property of the pixel. Panchromatic image segmentation enables the extraction of detailed objects, like road networks, that are usef...

In Ikonos imagery, both multispectral (MS) and panchromatic (PAN) images are provided with different spatial and spectral resolutions. Multispectral classification detects object classes only according to the spectral property of the pixel. Panchromatic image segmentation enables the extraction of detailed objects, like road networks, that are usef...

In vegetation change monitoring and urban planning, the measurement and mapping of the green vegetation over the Earth play an important role. The normalized difference vegetation index (NDVI) is the most popular measure to generate vegetation maps which resolution depends on that of the input images. High-resolution imagery can lead to better vege...

In IKONOS imagery, both multispectral (MS) and panchromatic data are provided, with different spatial resolutions. IKONOS images can be fused or pan-sharpened for the visual interpretation of large-area-scale applications. To date, many image fusion techniques have been developed. In particular, the intensity-hue-saturation (IHS)-based methods are...

Among the existing pan-sharpening methods, the Intensity-Hue-Saturation (IHS) technique is the most widely used one for its efficiency and high spatial resolution. When the IHS method is used for IKONOS or QuickBird imagery, there is a significant color distortion, due mainly to the range of wavelengths in the panchromatic (Pan) image. Based on the...

In monitoring vegetation change and urban planning, the measure and the mapping of the green vegetation over the Earth play an important role. The normalized difference vegetation index (NDVI) is the most popular approach to generate vegetation maps for remote sensing imagery. Unfortunately, the NDVI generates low resolution vegetation maps. Highre...

Image registration is a fundamental task used in image processing to match two or more images taken at different times, from different sensors or from different viewpoints. The objective is to find in a huge search space of geometric transformations, an acceptable accurate solution in a reasonable time to provide better registered images. Exhaustiv...

Image registration is a fundamental task used in image processing to match two or more images taken at different times, from different sensors or from different viewpoints. The objective is to find in a huge search space of geometric transformations, an acceptable accurate solution in a reasonable time to provide better registered images. Exhaustiv...

Digital image registration is a process by which the most accurate match is determined between two images which may have been taken at the same or different viewpoints. The registration process determines the optimal transformation which will align the two images. This has applications in many fields as diverse as medical images analysis, pattern m...

In modern medicine, digital subtraction angiography is a powerful technique for the visualization of blood vessels in a sequence of X-ray images. A serious problem encountered in this technique is misregistration of images due to patient motion. The resulting artifacts which arise from the misalignment of successive images in the sequence frequentl...