Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Ahmed Zaafouri"'
Publikováno v:
Cybernetics and Systems. 54:88-103
Autor:
Mohamed El Hedi Ouerteteni, Ahmed Zaafouri, Tijeni Delleji, Moez Bouchouicha, Zied Chtourou, Mounir Sayadi
Publikováno v:
2022 IEEE Information Technologies & Smart Industrial Systems (ITSIS).
Autor:
Mounir Sayadi, Ahmed Zaafouri
Publikováno v:
ATSIP
In this paper, a new automatic method for expiration code of medical products using convolutional neural network (CNN) is presented. The input image is enhanced using unsharp masking method. Then the image is binarized using local adaptive thresholdi
Publikováno v:
Iranian Journal of Science and Technology, Transactions A: Science. 43:1049-1057
This paper presents a new analytical method for fetal biometric measurements. The proposed approach is used to validate doctor’s biometric measurements to detect the malformation of the head. Mainly, biparietal diameter, occipito-frontal diameter,
Publikováno v:
Advanced Engineering Informatics. 29:1072-1082
Text in images and video contains important information for visual content understanding, indexing, and recognizing. Extraction of this information involves preprocessing, localization and extraction of the text from a given image. In this paper, we
Publikováno v:
IPAS
Accurate diagnostic and prognostic of fetus detects is an important challenge based on fetal head formation to supply much critical information that requires more attention in evaluating the abnormal heads. One of the fundamental problems currently f
Publikováno v:
ATSIP
As textures in motion, dynamic textures (DT) are video sequences that are spatially and temporally repetitive. Since, the segmentation of this type of textures represents many difficulties; this paper proposes a comparative study between neural, fuzz
Publikováno v:
CCCA12.
This paper presents a method of isolated Arabic character recognition using local energy and structural features. The method requires skeletonization in order to facilitate feature extraction process. The thinned character image is convolved with log
Publikováno v:
2012 16th IEEE Mediterranean Electrotechnical Conference.
Phase congruency (PC) shows a noticeable sensitivity to noise. In this paper, an evaluation of phase congruency edge detector for very noisy images using three filters bank is presented. Firstly, we present two usual filters bank used to compute phas
Publikováno v:
Eighth International Multi-Conference on Systems, Signals & Devices.
In this paper, we propose a developed unsharp masking process for contrast image enhancement. The main idea here is to enhance the dark and bright area in the same way which matches the response of human visual system well. Then in order to reduce th