No abstract

No abstract

Abstract. Occluding contour (OC) plays important roles in many computer vision tasks. The study of using OC for visual inference tasks is however limited, partially due to the lack of robust OC acquisition technologies. In this work, benefit from a novel OC computation system, we propose applying OC information to category classification tasks. Specifically, given an image and its estimated occluding contours, we first compute a distance map with regard to the OCs. This map is then used to filter out distracting information in the image. The results are combined with standard recognition methods, bag-of-visual-words in our experiments, for category classification. In addition to the approach, we also present two OC datasets, which to the best of our knowledge are the first publicly available ones. The proposed method is evaluated on both datasets for category classification tasks. In all experiments, the proposed method significantly improves classification performances by about 10 percent.

This paper proposed a fuzzy C-means clustering(FCM) algorithm which based on color space and spatialinformation. First, the color histogram is applied to fuzzyclustering algorithm, to determine the initial number of clustersand initial cluster centers of fuzzy clustering. Then bringingspatial information into FCM, to reconstruct the new objectivefunction contains neighborhood information. Finally achievethe image segmentation, evaluate and compare the algorithm.The experimental results show: this algorithm has a highquality and effect on image segmentation, and has a strongeranti-nose ability

In this paper it proposes a meaningful digital watermarking algorithm for remote sensing image based on DFT and watermarking segmentation. At First, it normalizes the host remote sensing image and determines an invariant centroid, then selects a square area around the invariant centroid for watermark embedding. Next, it generates a pseudo-random sequence as digital watermarking, and divides it into two parts. Finally it applies DFT to the selected region and embeds watermark into DFT phase and amplitude components of the selected square area of the host remote sensing image. Experiments have shown the algorithm’s characteristics of good robustness, simple calculation, easy realization, and extracting watermark without the original remote sensing image, and it has value of copyright protection for remote sensing images.