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This paper brings forward a new method of detection of fabric defect, namely image distance difference arithmetic. The system permit user to set appropriate control parameter of fabric defect defection based on the type of the fabric. It can detect more than 30 kinds of common defects, which has advantages of high identification correctness and fast inspection speed. Finally, using some image processing...
This paper presents an automatic vision-based system for bearing gland cover quality control. The system employs the method of gradually refined scheme to locate regions of interests. Several types of defects are detected from their corresponding regions by utilizing image segmentation, curve fitting, feature validation, and other image processing methods. Although each technology is not strange to...
In this paper, we introduce a simple automatic color enteromorpha image segmentation algorithm. First, the color images are converted from RGB into NTSC color space. Then, we scale the data of the saturation channel in NTSC color space to the range of 0-255 and obtain its histogram. Using this histogram, we can obtain two peaks in the enteromorpha and background class respectively. Thus, two positions...
ID image segmentation is a part that is the most subject to light in the RoboCup small size league vision subsystems and with the largest quantity of calculation in the system. While most teams use YUV color space for image segmentation, we use HSV color space in our paper. Experiments prove that this color space is less subject to light. Secondly, while region segmentation based on window search...
In the RoboCup small size league soccer vision system, butterfly IDs are the most frequently used ID design and currently all the posture information of robots in the teams is obtained by calculating the region's center of the IDs. This paper describes how we calculate the robot posture information taking into account the region's area, position and length-width ratio. Besides, Gauss'function-based...
In recent years, the technology of image-retrieve has become a hot point in research, and even more is the key technique in some important research program of digital library. The key technique of image-retrieve which is based on semantic quest and talkback mechanism which is significant symbol from junior to senior is a retrieve technique based on image-content. Therefore, the research of this program...
Huge computational complexity of encoding multiview color video is one of the main challenges of putting 3D video systems into practical use. A fast encoding algorithm is proposed in this paper. The proposed algorithm combines a fast macroblock mode selection method and a fast prediction direction determination method. The fast macroblock mode selection method utilizes the macroblock modes of the...
Based on three phases TM image acquired in 1992, 2000 and 2006, this paper took Kunming in China as a case study to evaluate the urban environment quantitatively by using NDVI and green index. Due to different atmospheric conditions, seasonal changes in vegetation characteristics and other reasons, the remote sensing images captured at different time may be quite different in color and brightness...
To overcome the disadvantage of describing contents of an image only with global features, a new color cluster image retrieval algorithm based on object regions is proposed. In this paper, firstly, object regions are extracted from an image, and then a new color cluster algorithm is presented. The algorithm is developed based on HVS color space, histogram intersection and combination of two similarity...
According to the retrieval algorithm of adjusting automatic the weight of multi-features, and which the algorithm exist some deficiency, like that have not the study mechanism and so on. The paper analyzed and studied in the BP neural network in the learning process, and has realized the image retrieval method based on the BP neural network relevance feedback technology. The experiment proved that...
Salient regions detection in the image is very useful for image processing. It can reduce the computational complexity of the process and save computation resource. Most of the methods compute the saliency based on feature integration theory. But different features have different contribution to the saliency in different images. A new feature integration method is proposed in this paper. This method...
Illumination estimation for color constancy is an important problem in computer vision. Existing algorithms can be divided into two groups: physics-based algorithms and statistics-based approaches. In this paper, the advantages of the two kinds are integrated. At first, a novel statistic-based algorithm called Illumination Estimation using K-nearest-neighbor (IE-KNN) is proposed. And then the physics-based...
To remove the impulsive noise and preserve the fine pixels in color images, a new switching filter called robust rank vector median filter is proposed. The method determines whether the central vector is replaced in the filtering window by the switching noise detector. The filter has better performance, robustness and low computational requirements. Extensive experiments show the new method yields...
A new algorithm for removing pixel cross-talk effect in CMOS image sensors with Bayer color filter array is proposed. With the assumption that color differences within small neighbors of an image is constant, the algorithm uses the R or B components of raw data to compensate the adjacent G component before color interpolation in order to eliminate the effects that R component interferes with Gr and...
The present study aimed to investigate whether there were preview benefits in red stimuli and green stimuli and to explore the visual marking mechanism. The visual marking paradigm was applied to this study. The results showed that: a) There were preview benefits when we used red stimuli and green stimuli; and b) When new distractors appeared in the old locations of old items, reaction times (RTs)...
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