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The fixed pattern noise (FPN) is an important parameter in imaging devices such as CCD or CMOS sensors that becomes more important when we consider about precision. There is no simple technique to remove FPN without any inconvenience. An algorithm is proposed which can reduce both, gain and offset FPN noise. At first the gain FPN of all pixels will be unified. Then, the same procedure applies to the...
This paper presents an adaptive background update method for waves extraction based on the physical properties of tide. Most of the previous background subtraction methods based on analysis of regional connectivity detect a wave period using a static background templates or a feature set of moving objects. However, random wave in such tide videos are not extracted well. In this paper, we assume that...
In this paper, a novel method for image denoising is proposed which adopts multiscale geometry tool. Firstly the image is decomposed by discrete shearlet transform. The shearlet coefficients of each direction approach the generalized Gaussian distribution. We use the principal component analysis (PCA) for every similarity window of shearlet coefficients. Then we use Generalized Gaussian model of non-local...
In this paper, we present a novel intelligent control system for rat navigation based on video tracking and state machine techniques. And we demonstrate the automatic navigation of a rat to follow a preset course. The system consists of these components: (1) a wireless backpack stimulator comprised of stimulating circuit, control processor and bluetooth transceivers, (2) a video camera device capturing...
A new detection method is presented for the detection of dim small targets from infrared image sequences is presented. Firstly, Robinson guard filter suppresses the background clutter in single frame. Secondly, a auto-adaptive threshold algorithm is applied to segment the potential targets from background. Finally, the bi-direction chain is used to identify the real target base on the continuity of...
In this paper, robust descriptors are extracted to detect video copies generated by complicated transformations. The main contribution of the proposed method lies in three aspects. Firstly, the complicated transformations on video copies are identified and tackled to guarantee the extraction of robust descriptors. Secondly, a motion classification approach is proposed to divide the video into video...
In this paper, under the non-local means framework, we propose a non-local bilateral filter algorithm for image denoising based on the neighborhoods' gray value and the corresponding neighborhoods' Gaussian curvature. We also adopt a new method to provide the optimum denoising parameter h based on the discrete wavelet transform and the smoothing spline estimation. Meanwhile the generalized cross-validation...
In this paper we present a morphologic edge detector using multidirectional structuring element approach for detecting edges of complex images under noisy condition. The experimental results show that the proposed edge detector has the desirable properties that a good edge detector should have. Comparative study reveals its detection performance exceeds conventional edge detectors and other morphologic...
Due to failure of mechanisms to deploy, some large communication satellites lost their ability and resulted in huge economic cost. A space robotic system is expected to perform the on-orbit repairing mission. It is a tremendous challenge to navigate a space robot in final approach since the targets are generally non-cooperative. Rectangle features, which are common in the configuration of a satellite,...
Image segmentation is a technique used to segment region of interest (ROI) in the image for further image processing applications. Contour extraction is one of the most important image segmentation methods. In this paper, a contour extraction method is proposed, which consist of two stages. The first stage is automatic initial edge point selection (IEPS), and the second stage is segmental contour...
Accurate alignment of electron tomographic images without using embedded gold particles as fiducial markers is still a challenge. Here we propose a new markerless alignment method that employs Scale Invariant Feature Transform features (SIFT) as virtual markers. It differs from other types of feature in a way the sufficient and distinctive information it represents. This characteristic makes the following...
Edge detection is a critical element in image processing, since edges contain a major function of image information. The function of edge detection is to identify the boundaries of homogeneous regions in an image based on properties such as intensity and texture. Many edge detection algorithms have been developed based on computation of the intensity gradient vector, which, in general, is sensitive...
This paper is concerned with the detection of road paths and drivable surfaces in different images under non-uniform light condition using simple coordinate logic filters. Road images taken in the campus have been used to test the algorithm. First the image samples are segregated into different segments depending on the intensity. Subsequently coordinate logic detectors are applied to extract the...
In this paper a hybrid denoising algorithm which combines adaptive bilateral Filter and Bayesian thresholding for digital images corrupted by Gaussian noise is proposed. The wavelet filter bank is used to decompose the image into approximation sub band and detail sub band. The adaptive bilateral filter is applied to approximation sub band and Bayesian thresholding is applied to detail sub band. The...
A new adaptive switching median filter is proposed to remove salt-and-pepper impulse noise from corrupted image. The algorithm is developed by combining advantages of the known median-type filters with impulse noise detection step. Comparison of the given method with traditional filters is provided. A visual example is given to demonstrate the performance of the proposed filter.
During view synthesis based on depth maps, also known as Depth-Image-Based Rendering (DIBR), annoying artifacts are often generated around foreground objects, yielding the visual effects that slim silhouettes of foreground objects are scattered into the background. The artifacts are referred as the boundary noises. We investigate the cause of boundary noises, and find out that they result from the...
In this paper, we propose a spatially adaptive noise removal algorithm using local statistics that consists of two stages: noise detection and removal. To corporate desirable properties into denoising process, the local weighted mean, local weighted activity, and local maximum are defined. With these local statistics, the noise detection function is defined and a modified Gaussian filter is used to...
In this paper we present a novel noise reduction method using Coordinate Logic (CL) filters applied to printed text and handwriting images. CL Filters and their associated Coordinate Logic Operations (CLOs) are widely used in common practical image process applications like noise removing, magnification, opening, closing, skeletonization, coding, edge detection, feature extraction, and fractal modeling...
This paper presents an adaptive edge enhancement method based on histogram matching for ultrasound images. Because of the speckle noises of ultrasound images, traditional edge enhancement methods do not work well for ultrasound images. The proposed method is to seek the regions whose edges needs to be enhanced and ruling out the error edges caused either by speckle noises or the reverberation artifacts...
Road detection is the most fundamental part of autonomous vehicles. Noises caused by shadows and vehicles on the road have a great negative impact on the road detection. Our method improves the performance under the noisy environment by taking advantage of color information to determine the road curvature. A novel geometrical method is proposed in this paper to select the most matched curvature. A...
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