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This research is to propose a fast and highly accurate object recognition method especially for fruit recognition applications to be used in a mobile environment. Conventional techniques are based on one or more of the basic features that characterize an object: color, shape, texture and intensity, causing performance or accuracy limitations in a mobile environment. Thus, this paper presents a combined...
A new method for mango detection is presented in this paper. This method is based on preprocessing operators on image which includes converting to gray image, finding edges, calculating distances to edges, opening morphology and converting to binary color image. To take advantage of oval shaped mango fruit, we apply Randomized Hough Transform method to detect potential places for mango fruit in input...
We present a novel text detection technique for the application of image annotation in databases of consumer pictures and videos. Images are annotated using information only from the picture itself, as a regular consumer would do. We present results using the challenging public ICDAR2003 dataset and show that our algorithm is competitive with respect to state-of-the-art.
Many existing car recognition algorithms are aiming at front/back and side view car detection. In this paper, an oblique car recognition algorithm is proposed. The algorithm is designed based on the common knowledge of the car, such as shape, contour, structure and so on. The experimental results of many oblique car images show that our method has fine accuracy in oblique car recognition.
Content-Based Image Retrieval technique uses three primitive features like color, texture and shape which play a vital role in image retrieval. This paper presents a novel framework using color and shape features by extracting the different components of an image using the Lab and HSV color spaces to retrieve the edge features. Invariant moments are then used to recognize the image. In this proposed...
This paper presents a novel approach for the simultaneous estimation and display of 3-D coordinates as well as intensity information of an object. A data acquisition system has been developed to acquire range images. The 3-D mesh representation of the object is obtained by registration and integration of acquired range images. Structural features from the mesh representation as well as intensity image...
Existing graphic element detecting algorithms possess several drawbacks such as high complexity, low measuring accuracy and poor robustness to image degradation. A two-stage hybrid approach is proposed to solve these problems in detecting and measuring LED die geometric parameters. In the first stage, the LED die binary image is obtained by adaptive multi-threshold segmentation, and the LED die graphic...
A smart image background recognition model is proposed, in which inverse square smoothness model (ISSM) and canny edge algorithm are combined. Compared with methods such as method using background difference based on edge extracting, this method is well performed in processing image with complex background. ISSM is practical and robust model, as it makes full use of the relationship between image...
The automatic detection and recognition of traffic signs have practical importance for intelligent traffic system. A method for some prohibition traffic signs designed for drivers is proposed in this paper. The color information in HSI color space and the symmetry property of circles are used to detect signs, and the Histograms of Oriented Gradients feature and the nearest distance method are used...
In this paper, a novel method for accurate and real-time lip contour extraction in gray-level images is presented. The main idea is to grow the contour from some key points based on constraints of parabola fitting and gradient maximum which are combined using D-S theory. This approach can accurately extract continuous lip contour by simultaneously taking color and shape information into consideration,...
Today, Geographic information system (GIS) has been utilized in a lot of fields, and data is the soul of GIS. At the same time there is plenty of information and data in the paper map. How to make use of information from paper map is worth of studying. Map recognition can play a role in this problem. Hence, this paper mainly researches on how to effectively recognize area from map image and a corresponding...
Text is a vital feature in applications of computer vision. Traditional Chinese character recognition techniques are mainly based on optical character recognition (OCR), however, they can't obtain satisfactory results from images affected by complex circumstance, such as different viewpoint, scale changes, addition of noise and complex background. To solve these problems, inspired by SIFT descriptor,...
The need for a generic and adaptable object detection and recognition method in images, is becoming a necessity today, given the rapid development of the internet and multimedia databases in general. This paper compares the state-of-the-art in object recognition and proposes a method based on adaptable models for detecting thematic categories of objects. Furthermore, automatically constructed semantics...
Hand Biometric Recognition not only gathers a good performance in identifying individuals but also it is known to be a non-invasive biometric technique. Furthermore, there exist new trends towards mobile implementation developments, focusing on embedding current biometric systems in mobile devices. This paper aims to implement hand biometric recognition with mobile devices. This approach involves...
Vehicles are indispensable in modern life. The capability of monitoring them over a long range can play significant roles in many surveillance applications. However, due to high mobility of vehicles, tracking them is difficult and we need to utilize a large network of cameras and reason on discrete sets of observations made from non-overlapping cameras. In this paper, we introduce enabling techniques...
Recently, several image retrieval systems have been developed, which regard the Web as a large scale image database. In this study, we use the image itself as index keys. From the Web, a set of similar images is retrieved based on numerical characteristics of images and simultaneously text information accompanying with the images is presented to a user. The user evaluates the relationship between...
This paper presents a pedestrian model built collectively on a group of strong local convex shape descriptors. The pedestrian model captures the most important features of a pedestrian: head, body contour, arms, legs and crotch, and is robust to variances in appearances and partial occlusions. For an image set of 2571 pedestrians and 4369 car and background images, the pedestrian recognition system,...
This paper presents a real-time system for the automatic identification of moving motor cycle. The system uses the latest image processing techniques for the processing of images and artificial neural networks is used for the recognition purpose. The proposed system is intended for the automatic control and monitoring of a motor cycle parking lot. One digital camera is to be fixed suitably in the...
This paper presents an algorithm for the recognition of 2-D objects in partially occluded environments. The proposed method uses the edge of an object to represent as well as recognize shapes using partial information. The algorithm is based on detecting significant edge parts exhibiting some distinct features of a shape contour and representing some portions of the contour of an object. A set of...
Extraction of text from scene image is much difficult than extraction from simple document image. A lot of researches succeeded in extracting single text string from image, but can not deal with image including many text strings. Meanwhile, the result may be mixed with noises be similar to text. This paper describes an algorithm that uses mathematical morphology to extract text effectively, and edge...
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