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Flame image segmentation is an important prerequisite for fire characteristics and recognition, The segmentation results will affect the accuracy of fire identification. This paper proposes a flame segmentation algorithm merging 2-dimension Otst and seed region growth on HSI color space. After many texts, it confirmed that the new flame segmentation algorithm doesn't only overcome interference the...
The recognition and classification of the remote sensing image is a key technology in the application of remote sensing image, which has been one of the research hotspots. Extreme learning machine (EML), is a kind of machine learning method, which has advantages of fast learning speed and good generalization capability, and has been getting more and more attention from the researchers. Based on the...
Fuzzy C-Means (FCM) clustering algorithm has been widely used in the field of image segmentation with its good clustering efficiency. However, it may cause a time-consuming result and even convergence to local minima because of its local search character while with an improper initial value. Therefore, an improved FCM algorithm is proposed in this paper to solve the ripe fruit image segmentation problem...
We present an approach for recognizing the broken area of the traffic signs. The method is based on the Recognition System for Traffic Signs (RSTS). This paper describes an approach to using the location histogram matching for the broken traffic signs recognition, after the general process of the image detection and image categorization. The recognition proceeds by using the SIFT matching to adjust...
The performance of a video fingerprinting system, which is usually measured in terms of pairwise independence and robustness, is directly related to the fingerprint that the system uses. This paper has proposed a novel fingerprinting methods base on the gradient orientations of the luminance centroid, which is not only pairwisely independent but also robust against common video processing steps including...
Pulse-Coupled Neural Network (PCNN) is a new kind of network, which is constructed by simulating the activities of the mammal's visual cortex neurons. PCNN is suitable for image processing, including segmentation, image fusion, edge extraction. In this paper, a new method is proposed which is the use of Bidirectional search Pulse-Coupled Neural Network (BPCNN) in the color image segmentation. The...
Currently, the reverse logistics of electronic and electrical equipment industry in China is still in its initial stage. Two of the most important factors caused the present situation: one is the difficulty of controlling the massive recovery data and the other is the lack of effective information support for management decision-making. Thus, businesses in this area cry out for a data analysis center...
This paper presents a novel and efficient algorithm for preventing the block wrongly matching in image inpainting. The proposed technique separates the inpainting process into two different and important steps. First, segment the pre-selected source area, which is called the source region, from the input image. This step can prevent the block wrongly matching effectively. Besides, the adjustment rule...
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