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These last decades have seen the application of automatic inspection in many fields thanks to advanced vision sensors and image analysis methods. However, the difficult nature of pavement images, the small size of defects (cracks) lead to the fact that inspection in this area is done mostly manually. Each year in Tunisia, the operator must view images of thousands of kilometers of roads to detect...
With the further and faster urbanization, here come the advent and development of intelligent public transportation system. The identification of the traffic signs, as a key component of the intelligent transit system, has a prospect of widespread use in self-driving and driver assistance system. The paper focuses on the classification and identification of traffic signs based on the researches on...
Coin segmentation, or separating the coin area from its background, is inevitably the first step in any robust classification method. Yet, the fact that almost every research relies exclusively on grayscale images taken in controlled environments, with uniform illumination and backgrounds, wastes a vast asset of images commonly taken by numismatists, sellers and collectors. Admittedly, very often...
The rapid growth of different types of images has posed a great challenge for scientific fraternity across the world. For easy access to large number of images, efficient indexing and retrieval is required. The field of Content-Based Image Retrieval (CBIR) attempts to solve this problem. This paper proposes a combination of local and global features for CBIR. Local features are extracted through Scale...
In complicated high dynamic scene, current gamma correction methods sometimes suffer from a loss of local details in certain regions of different luminance. In this paper, an adaptive local gamma correction method based on mean value adjustment is proposed, which is aimed at improve local details in both dark and bright regions in image. As the preprocessing, a global enhancement method is applied...
In this paper, we explain the construction of two color image processing tools adapted to skin analysis and diagnostic. In this aim, the non linearity of the Human Visual System must be taken into account. In color domain, only the perceptual distances meet this constraint and are validated by the International Commission on Illumination. Thanks to this consideration, we develop an image processing...
Binary and grayscale mathematical morphology have many applications in different domains. On the other hand, colour morphology is not widespread. The reason is the lack of a suitable colour ordering strategy that makes the extension of grayscale morphology to colour images not straightforward. We will introduce a new majority sorting scheme (MSS) that can be applied to binary, grayscale and colour...
In this paper, an effective image processing technique has been studied to develop a system of acne detection. The focus is on binary thresholding applied to facial images with various types, shapes or amounts of acne. A typical image on a cheek has been usually used to take in the experiment which results are markings on acnes automatically, this method is more effective than manual counting by a...
Image processing techniques play an important role in military applications. Image binarization could be understood as a process of pixel values segmentation of grayscale image into two value groups, zero as a background and 1 as a foreground. In simple humorapplication of object detection we assume that contrast distribution of foreground is uniformed and without background noise or that variation...
A new license plate localization algorithm is presented. Execution times of these operations can rather be long, especially where the image consists of large amount of either vehicle's linked components or the other existing objects. This algorithm combines the image processing techniques with some statistical methods and eventually a pattern checking method is also added. Here, minimum rectangle...
This paper proposes Tablet counter machine base on image processing. A digital webcam creates an image of drug being dispensed. This image is displayed in standard RGB model. The original image will change to grayscale image. Then grayscale image will filtered for noise using a median filter and then using threshold we obtain a digital binary image of the pill being dispensed. The image is further...
Many non-pornographic images containing large exposure of skin area or approximate skin-color area are prone to be detected as the pornographic images. This paper proposes a novel method based on AdaBoost algorithm for nipple detection of pornographic images. The AdaBoost algorithm has excellent performance in both detection accuracy and detection speed. The method extracts extended Haar-like features,...
Using content based image retrieval systems the images are compared on the grounds of the stored information of images. As simple descriptors the intensity (or color), the texture and the shape is widely used. Special property of thermal images - similarly to gray-scale images - the have only one intensity channel. But then these intensities change on an other way than in gray-scale images. In this...
Nuclei segmentation of the epithelial cells of a Pap smear image is an important step in order to have correct morphometric measures. This task is non trivial due to the complexities of the Pap smear images. Our paper presents a novel method on nuclei segmentation using morphological operation and watershed transformation. The proposed segmentation method was evaluated with respect to its nuclei area...
Detection of a leaf from the image that contains the leaf, branches, and other background material is challenging. The existing approaches for automated leaf extraction do not provide satisfactory results when the end-users provide a plant image. For such an application to be feasible, the automated leaf extraction algorithm should handle leaves of various colors, shapes, sizes, and locations within...
particle filter is a probabilistic multi-hypothesis algorithm under the Bayesian framework. In order to establish a robust observing model, in this paper, a novel method which uses a more effective color feature with contour information integrated adaptively is proposed. Experimental results verified that, our approach was efficient.
We propose a new CGSF+PHOG descriptor and perform image classification using a novel EFM-KNN classifier, which combines the Enhanced Fisher Model (EFM) and the K Nearest Neighbor (KNN) decision rule. We integrate the oRGB-SIFT descriptor with other color SIFT features to produce the Color SIFT Fusion (CSF) and the Color Grayscale SIFT Fusion (CGSF) descriptors. The CGSF is integrated to the PHOG to...
Detection and classification of traffic signs is one of the most studied Advanced Driver Assistance Systems (ADAS) and some solutions are already installed in vehicles. Nevertheless these systems still have room for improvement in terms of speed and performance. When driving at high speed, warning systems require very fast processing of the video stream in order to lose as few frames as possible and...
We first research the low-layer physical feature of image, retrieval the image by color features, and import the technique of relevance feedback. By cooperation between human and computer, Making up the computer's limited ability of understanding and enhancing the effect of retrieval. The key techniques of relevance feedback and semantic query are the important mark that the technique of CBIR develops...
The G-banding technique is routinely used for generating characteristic banding patterns for chromosome identification and karyotyping. Since G-band patterns are not static, training cytogenetics technologists to master the skills of chromosome analysis is a long process. Furthermore, the opportunities for biology students to access a wide range of different chromosome aberrations for practice are...
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