The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This paper presents a new algorithm for improving the qualities of edge in halftone image. The algorithm is designed to diminish discontinuous and jaggy artifact on edges of halftone image without original image data. And our proposed algorithm does not depend on the special halftoning scheme since no inverse halftoning is included. It provides a possible way of low-cost processing directly on the...
Some image test signals are realized by VHDL language, which accord with the parameter standard of video signal interface about our national High Definition Television. Three bottom function blocks are accomplished by VHDL language and connected by graphic editor. The program is compiled and simulated by MAX+PLUS II application. This design is flexible, as the same time other image test signals can...
In a complex environment, the autonomous robot object tracking which is sole based on color feature is difficult to distinguish the object accurately, thus it causes the loss of the tracking object. An autonomous robot object recognition algorithm based on multi-feature fusion is presented. Firstly, the image is processed by the HSI dual adaptive threshold division method, and the run-length coding...
This paper proposes a novel method to detect smoke using statistical patterns which are DWT energy. In general, shape of smoke is not clear and color and diffusion direction of smoke depends on the environment. Therefore, if small pieces of smoke's information are used, false detection rate is increased. In this paper, the foreground is detected by robust method to environment changes. After its detection,...
Car license plate detection is a basic task in ITS. A MSER license plate detection method is proposed in the paper constrained by some priori knowledges of license plate. First the input image is pre-processed with grayscaling and gray stretching, etc, and then, the candidate MSER(Maximally Stable Extremal Region) license plate regions are chosen according to the pixel sum, the scale and length-width...
Image segmentation is critical to image processing and pattern recognition. Basically, color image segmentation techniques are based on monochrome ones operating in different color spaces. A color image segmentation method in the RGB color space is reported in the paper, the image segmentation is used in the image about the disease spot and the normal spot of cucumber in the greenhouse, we determine...
In a real-time face recognition system, complex background that occurs in an image or video can degrade the accuracy of both face detection and recognition due to the uncontrolled environment. However, few studies have been proposed to address this issue. In this paper, we propose an adaptive skin color model to make the system more reliable. First, real face region is elected among face-like regions...
In both human and machine vision systems, edges in images are of crucial significance in understanding the contents of images. Edge detection has therefore become an important task in image processing. In this paper, we propose a new operator for detecting edges in images. This operator is based on the principle of evaluating the local fluctuation of the pixel values. We first normalize the pixel...
Medulloblastoma (MB) is the most common brain tumor in children. Recent studies have demonstrated a relationship between specific signaling pathway abnormalities, a tendency to more favorable outcomes, and a histopathological feature: nodular growth patterns. In this work we present a new segmentation scheme which requires minimal user interaction to segment nodules on MB histopathological sections...
For ideal color reproduction on Wide Gamut Displays, a multi-level gamut extension method is introduced. The proposed method includes varying nonlinear extension based on hue and image-dependent chrominance smoothing. The first step is global gamut mapping and solves heavily painted problem with hue-varying extension function. The second step is local gamut mapping and avoids over-contrast problem...
In this paper, we propose an effective four-stage approach that detects fire automatically. The proposed algorithm is composed of four stages. In the first stage, an approximate median method is used to detect moving regions. In the second stage, a fuzzy c-means (FCM) algorithm based on the color of fire is used to select candidate fire regions from these moving regions. In the third stage, a discrete...
A method to transform omnidirectional images to panoramic images is proposed in this paper. Firstly, points of the omnidirectional image are re-projected to the cylindrical surface to construct the interpolation surface. Secondly, an improved interpolation with adaptive interpolation region is adopted. Finally, blurred edges are compensated by a modified edge-preservation interpolation method. Experimental...
Classification system and textural features play increasingly an important role in remotely sensed images classification and many pattern recognition applications. In this work, we propose to fuse the information outputed by 3 well-known classifiers : Support Vector Machines (SVM), Neural Network (NN) and Parzen Window (PW). These classifiers were combined according to the Dempster-Shafer theory....
This paper presents a method for image retrieval using genetic algorithm and bags of pixel. This technique makes it possible to select important parts of image for retrieval. Closed space of pixels takes advantage of automatic conformity approximation and indicates the increase of meaningful linear variations such as morphing and transitions. Selecting bags of pixels and PCA, we can retrieve images...
Automatic license plate recognition is one of the crucial steps for any intelligent transportation application. License plate recognition is done in many approaches. However, license plate recognition in Indian scenario is very complex because, there is no unique standard for the plate. Even though the government stipulated the standards on how to write the plate and where to display, many people...
Text detection in natural images has gained much attention in the last years as it is a primary step towards fully autonomous text recognition. Understanding the visual text content is of a vital importance in many applicative areas from the internet search engines to the PDA signboard translators. Images of natural scenes, however, pose numerous difficulties compared to the traditional scanned documents...
In this paper a new, faster approach which is different from all the other conventional image vectorization techniques. Using canny edge detection we are able to find the sharp edges in the image and the assigning shades to each identifiable segment using random colour extraction from the original image. Finally mapping the colour blobs with the SVG Schema and generating a scalable vector image. This...
In this paper we are proposing a technique for secret communication between Alice and Bob. We are using both cryptography and steganography. Firstly, we encrypt the secret message using our new cipher algorithm called twelve square substitution cipher algorithm, and then embed the cipher text in the carrier image in 6th and 7th bit locations or 7th and 8th bit locations or 6 and 8 bit locations of...
Based on the use of KD-tree, we present a method of indexing of the color images. This method combines color's information of the pixels and their positions in the images. It also aims at reducing the size of signatures of each image, and consequently reducing the computation time between two signatures. The method of similarity measure used is the EMD distance. The latter based on the minimization...
Steganography deals with hiding of data in images and steganalysis reveals the presence of data and also the data. In this paper, we propose a steganography technique that is based on randomizing the sequence of cipher bits. We compute the suitability measure of the various random sequences of the cipher bits against a given image and select the random sequence closest to the image. We generate these...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.