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For natural image segmentation, due to features from a single image are hard to describe the complex scene information, this paper presents a new method based on the fusion model evaluation index PRI to fuse color histogram features in 3 color spaces, RGB, XYZ, LUV, and texture features. We experiment on images from Berkeley segmentation databases and compare the quantitative and qualitative experimental...
In this paper an algorithm which is able to count the number of fingers from a hand posture is presented. The method is based on hand contour and skin colour information. The middle axes of the fingers are detected. The method is robust regard the hand edge detection.
We compare the scene classification performance of 13 features, including structure, texture and color features. First, image classification are performed using a single feature and the performance of different features are compared. Both the k-nearest-neighbor (KNN) classifier and the support vector machine classifier (SVM) are employed. And for the KNN classifier, we use four different distance...
An algorithm was proposed to remove the moving shadow in video surveillance. This method gets the moving objects from motion detection in first, in which removal shadow on invariable features of colors and local texture, then gets rid of the change suddenly pixels in edge of shadow. Experiments show that having a strong ability to adapt to different scenes, the algorithm retains the integrity of the...
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...
Melanoma can be cured if it is detected early, so early diagnosis is very important in dermatological practice today. Early and non-invasive diagnosis of melanomas can be done by accurate image segmentation of skin lesions. The medical images, while acquisition are generally bound to contain noise. This paper proposes a robust and efficient image segmentation algorithm using LOG edge detector to extract...
Texture is one of the high level features of images which is used in many applications. The Local Binary Pattern (LBP) is used for detecting uniform patterns. The dominant local binary pattern (DLBP) makes use of minimum set of most frequently occurred patterns. The Local Texture Pattern (LTP) is the gray-scale and rotational invariant texture measure. It is an ongoing research to find the suitable...
There are different methods to interpolate a zoomed image such as nearest neighbor, bilinear, bicubic, adaptive interpolation and so on. These methods works on grayscale value of pixels so we name them pixel based methods. In this paper, we propose a line based method. In this method, an improved scheme of radon transform is used to convert image from dot domain into line domain. In the line domain,...
Through researched the method of the identification and location based on machine vision, location information of mature tomatoes has been obtained, which can be used to guide the automated picking operation of ripe tomatoes. The segmentation of visual system is based on the difference between the color characteristics of ripe tomatoes and background. Through the gray-scale method, the treatment of...
This paper presents a novel and robust approach to detect and follow a human with a mobile robotic platform. In order to follow a human, both the initial detection of human and the subsequent tracking need to be implemented. As the robot is initially static, initial human detection is done using a background subtraction technique. To remove the outliers objects, filters are formulated based on the...
Grabcut is an Interactive segmentation algorithm, which is employed to extract the foreground of an image, but it works wrong frequently when the pixels around the foreground are similar to the pixels of the background. We advance a new cost function to correct the mistake after we analyze the reason why it works wrong. Experimental results show that the new cost function outperforms the original...
This work describes a method for accurately tracking persons in indoor surveillance video stream obtained from a static camera with difficult scene properties including illumination changes and solves the major occlusion problem. First, moving objects are precisely extracted by determining its motion, for further processing. The scene illumination changes are averaged to obtain the accurate moving...
Real-time object tracking is recently becoming more and more important in the field of video analysis and processing. Applications like traffic-control, user-computer interaction, online video processing and production and video surveillance need reliable and economically affordable video tracking tools. This paper presents a new method for object tracking with improved efficiency by reducing the...
Recently, there are many autonomous navigation applications done in outdoor environment. However, safe navigation is still a daunting challenge in terrain containing vegetation. Thus, a study on vegetation detection for outdoor automobile navigation is investigated in this work. At the early state of our research, we focused on the segmentation of LADAR data into two classes by using local three-dimensional...
The soccer robot assembly system belongs to the intelligence robot assembly system, this article take the YSU soccer robot assembly system as a platform, proposed unifies the auto-adapted threshold value method based on HIS and RGB, improved in the original system in the multi-objective search process image to gather slow and the robust bad situation.
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