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Large-scale 3D point clouds have been actively used in many applications with the advent of capturing devices. In this paper, we propose a novel saliency detection algorithm for large-scale colored 3D point clouds which capture real-world scenes. We first voxelize an input point cloud, and then partition voxels into a supervoxel which corresponds to a clusters at the lowest level. We construct the...
This research is addresses to determine the dominant species that located in the overlapped clusters produced by the Kohonen Self-Organizing Map (KSOM). Before, KSOM algorithm able to cluster the tropical wood species data set effectively and accurately according to the wood features, which is wood pores sizes. Unfortunately, there are seven overlapped clusters in the clustering result and this is...
Considering the fuzziness and diversity of the capsule foreign matter defect in the image, the BP neural network is applied to discern the capsule foreign matter defect Firstly, the capsule image is separated into three parts by vertical Sobel operator, and every part of image is processed by median filter to clear the noise. Then the histogram features of all the three parts of the image, namely...
This paper presents a clustering and optimizing pixel prediction method for reversible data hiding, which exploits self-similarities and group structural information of image patches. Pixel predictors plays an important role for current prediction-error expansion (PEE) based reversible data hiding schemes. Instead of using a fixed or a content-adaptive predictor for each pixel independently, we first...
Search and retrieval of images based on content has attracted considerable attention in recent years from the research community. Classification and Clustering algorithm are used to improve the result of Content based Image retrieval. This paper relies on a combination of color and edge features of image for the accurate retrieval of images. Color features are extracted by RGB color histogram and...
Recent advances in technology have made tremendous amount of multimedia information available to the general population. To access the needed information in this scenario there is a need for automatic tools to filter and present information summary. Summarization techniques will give a choice to users to browse and select the multimedia documents of their choice for complete viewing later. In this...
The video key frame extraction technology is one of the important parts of content-based video retrieval. And the mainstream of key frame extraction is the algorithm based on clustering. The basic idea is: the video frames are grouped in accordance with the correlation of the visual content by clustering, and then we extract the most representative frame from each group as a key frame. In this paper,...
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