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This paper proposes a new background subtraction method by a moving camera for the object detection. Key points are firstly extracted and tracked. From the tracking results, spatial transformation relationships for the background scenes in consecutive frames are obtained while the current frame is warped to the previous image plane for the camera movement compensation. A codebook background model...
With the rapid development of solar photovoltaic power generation, inspection for PV plants based on UAV platforms has become prevalent. Despite the obvious advantages in efficiency, cost, accuracy and so forth, a new challenge should be noticed that how to match PV strings between images correctly in UAV images' processing when detecting the failures in solar panels or inspecting installed capacity...
Latent fingerprints obtained from crime scenes are rarely immediately suitable for identification purposes. Instead, most latent fingerprint images must be preprocessed to enhance the fingerprint information held within the digital image, while suppressing interference arising from noise and otherwise unwanted image features. In the following we present results of our ongoing research to assess this...
We have analyzed the problems associated with matching regions among the pair of images over the large set of overlapping regions. It is being studied that, matching images by using regions having unstructured association can be a serious problem. In this research we propose a linear formulation technique, which is matching simultaneously, so that the matched area can have color similarity histogram,...
In a content-based image retrieval (CBIR) system, retrieval performance depends on the selected feature. Features extracted from images will be compared during the matching process. In this paper, we evaluate the retrieval performance of color-based descriptors derived from DC images. A DC image is a downscaled image generated by extracting the DC components of a JPEG-compressed image. DC images contain...
In January 2016 the U.S. National Library of Medicine announced a challenge competition calling for the development and discovery of high-quality algorithms and software that rank how well consumer images of prescription pills match reference images of pills in its authoritative RxIMAGE collection. This challenge was motivated by the need to easily identify unknown prescription pills both by healthcare...
The purpose of this paper is to find whether there is any evidence of correlation between fingerprint quality and the factors of skin texture, keratin level, skin pigmentation, skin color, skin temperature, elasticity, and finger minutiae. In simpler terms, the goal was to see if and which finger characteristics affected the readability of the fingerprint. To achieve this goal, about 8000 random samples...
In today's life travelling has become a passion. But travelling is not so easy unless we know the place and its details. When we visit a new place in order to know the details of that place, we usually take help of native people at times there might arise a situation where we cannot communicate with them. In other ways we browse about the place this approach may also lead to confusion and does not...
Near duplicate image detection needs the matching of a bit altered images to the original image. This will help in the detection of forged images. A great deal of effort has been dedicated to visual applications that need efficient image similarity metrics and signature. Digital images can be easily edited and manipulated owing to the great functionality of image processing software. This leads to...
The article considers the task of object detection on the images in industrial process control systems. The task is solved in two stages: image segmentation and matching the images of the segments with the template values. A new method based on wavelet transform salient points detection is proposed for image segmentation. Salient point descriptors are used for image matching; the new method of descriptor...
This paper proposes a novel method to construct the content knowledge from audience generated data. The proposed method gathers audience data related with the broadcasting content and extracts images and meaningful keywords for knowledge construction. The knowledge graph is constructed with extracted entities based on their positions in the data and became the content knowledge by connecting images...
Developing a calligraphy imitation system, for example, based on the Android OS, is significant to the heritage of Chinese culture, especially for the Chinese calligraphy lovers or the beginning learner. In this paper, we proposed a calligraphy imitation system based on a virtual brush and scale-invariant feature transform (SIFT). According to the movement rate and strength of users finger touching...
In this paper, we proposed a holographic panorama display system. The presented scheme uses panorama technology display a holography images on the HoloAD platform. We adopt color correction method to perform image pre-processing and then find the feature points of the input image and match with each other. Finally, images will be blent a panoramic image and then be displayed on HoloAD platform.
Growth of the image mining arena calls for the need of quality image retrieval techniques in par with the human perception which are invariant to scale and rotation. An optimized content based image retrieval system based on local visual attention features to bridge the semantic gap problem is proposed. The approach involves the salient point detection using Scale Up Robust Features (SURF) detector...
Cartoon image annotation and retrieval is critical for cartoonists to effectively and efficiently make cartoons by reusing existing cartoon data. To successfully achieve these tasks, it is essential to build an abundant cartoon database first and then annotate and retrieve them efficiently. This paper studies and realizes a cartoon images annotation and retrieval system which supports interactive...
The need for fast retrieving images has recently increased tremendously in many application areas. SIFT-like local descriptor-based matching is widely adopted and has achieved state-of-the-art performance. However, it becomes inefficient when computational and storage resources are limited. Besides, local descriptor-based methods may suffer difficulties when an image pair contains multiple similar...
The state-of-the-art SIFT flow has been widely adopted for the general image matching task, especially in dealing with image pairs from similar scenes but with different object configurations. However, the way in which the dense SIFT features are computed at a fixed scale in the SIFT flow method limits its capability of dealing with scenes of large scale changes. In this paper, we propose a simple,...
In this paper a fuzzy based approach is used for Effective retrieval of video. Initially a video is partitioned into frames and then we use fuzzy logic method in order to retrieve a video. While existing search engines like Google and yahoo provide a video retrieving through manual textual queries. We provide an advanced concept of giving a relevant image as an input in order to rescue the video....
Digital watermarking has developed immensely for multimedia uses in the current decade. The requirement for protected digital content grows vital with the enhancement in exchange of digital images on internet. Watermarking is a technique to safeguard digital media by retaining the owner's possession. Fingerprinting extends the watermarking concept by embedding unique purchaser's information. This...
This paper addresses the difficult problem of finding dense correspondence across images with large appearance variations. Our method uses multiple feature samples at each pixel to deal with the appearance variations based on our observation that pre-defined single feature sample provides poor results in nearest neighbor matching. We apply the idea in a flow-based matching framework and utilize the...
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