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Image fusion is a process of integrating two or more images into a single image with more details and information. The different focus images involve different details according to changing the lens of camera. Recently, the two-dimensional discrete wavelet transform (2-D DWT) is applied widely to image processing field. A novel method is proposed for multifocus image fusion based on 2-D DWT. In order...
A novel image fusion algorithm using adaptive Unit-Linking Pulse Coupled Neural Networks (ULPCNN) is put forward. Firstly, ULPCNN threshold function is improved, and then the null interconnection and the adaptive interconnection ULPCNN are formed. Secondly, the nonlinear mapped ULPCNN time matrix can be obtained, which can represent the characteristic of the single pixel, but can reflect the pixel...
Vein pattern is the vast network of blood vessels underneath a person's skin. These patterns in the hands are assumed to be unique to each individual and they do not change over time except in size. The properties of uniqueness, stability and strong immunity to forgery of the vein patterns make it a potentially good biometric trait. In this study, we present a novel biometric technique based on the...
Multisensor image fusion has its effective utilization for surveillance. In this paper, we utilize a fuzzy logic approach to fuse images from different sensors, in order to enhance visualization for surveillance. With the help of fuzzy if-then rules and membership functions designed for the image data set, the fuzzy logic approach can model and combine the images to enhance the contrast of the fused...
Based on scale-invariant feature transform (SIFT) and mean seamless cloning (MVSC), an image stitching algorithm is presented, to improve the quality of the panoramic stiching image. Using SIFT algorithm to extract between benchmark images (await matched image) and follow-up images(with the baseline image match the image) of the feature points, identifying locations and directions, using 128 dimensional...
The researches on images fusion have attracted more attention due to the increasing demands. A number of pixel-based and region-based image fusion algorithms are described in certain criterions. In this work, a novel region-based image fusion method is proposed, which explores pulse couples neural network (PCNN) to produce a region map. Characteristics of each region are calculated and the region-based...
We consider the problem of automatically separating coal and coal gangue based on computer vision and design a coal and coal gangue separation system framework based on video. Grayscale histogram, fractal dimension and energy value are extracted as ore features. Then we design a 4-layer Levenberg Marquart BP Neural Network to implement multi-feature fusion. Test results demonstrate that the system...
This paper presents a novel and efficient approach for face recognition based on extended local binary patterns (LBP) and fuzzy information fusion. Each facial image in training set is divided into a certain number of sub-regions after a simple image preprocessing, and all training sub-regions from the same position construct a new training subset. The extended LBP method is used to extract local...
The paper first gives an effective integration on high resolution RS image and multi-spectral RS data on the basis of RS image geometric correction, image mosaic and subset; then introduces many kinds of vegetation indices such as NDVI, PVI, RVI, SAVI, GVI, DVI and so on, and analyses the characteristic of vegetation indices, builds normalized difference vegetation index (NDVI) of study area; later...
Image fusion can be viewed as a process that incorporates essential information from different modality sensors into a composite image. The use of based trained Independent Component Analysis (ICA) for image fusion has been high-lighted recently. Common fusion rules can be used in the ICA fusion framework with promising results, but has the shortcoming of the same fuse rule for the whole image. In...
Human recognition based on the iris biometric is severely impacted when encountering non-ideal images of the eye characterized by occluded irises, motion and spatial blur, poor contrast, and illumination artifacts. This paper discusses the use of the periocular region surrounding the iris, along with the iris texture patterns, in order to improve the overall recognition performance in such images...
We propose a method to remove moving objects from an in-vehicle camera image sequence by fusing multiple image sequences. Driver assistance systems and services such as Google Street View require images containing no moving object. The proposed scheme consists of three parts: (i) collection of many image sequences along the same route by using vehicles equipped with an omni-directional camera, (ii)...
This paper describes an approach to segment and locate people in crowded scenarios with application to a surveillance system for airport dependencies. To obtain robust operation, the system analyzes a variety of visual cues -color, motion and shape- and integrates them optimally. A general method for automatic inference of optimal cue integration rules is presented. This schema, based on supervised...
The relations between synthesis technology and image fusion are generalized, and some key questions are analyzed when using quotient space granularity synthesis in image segmentation. Furthermore the granularity synthesis method of quotient space is applied to analyze and processing of texture images and a new image segmentation algorithm of image segmentation is given. Firstly texture features of...
In this paper, we propose an algorithm to synthesize high-resolution multispectral images by fusing panchromatic (Pan) images and multispectral (MS) images. The algorithm is based on an adaptive linear model, which is automatically estimated by least square fitting. In this model, a virtual difference band is appended to the MS to guarantee the correlation between the Pan and MS. Then, an iterative...
This paper presents a multi-sensor image acquisition platform which combines with hardware and software and can adjusts the dynamic range of sensor according to changes in light source. The hardware mainly consiste of image sensor MT9V032 and FPGA, and use the DMA in PCIE bus to obtain high-speed data transmission. Based on the High Dynamic Range characteristic of MT9V032, we propose a algorithm for...
One of the major stakeholders of image fusion is being able to process the most complex images at the finest possible integration level and with the most reliable accuracy. The use of support vector machine (SVM) fusion for the classification of multisensors images representing a complex tropical ecosystem is investigated. First, SVM are trained individually on a set of complementary sources: multispectral,...
Defects inspection for solder paste deposit in PCB SMT assembly can depress final fault rate and save rework cost. The solder paste deposit inspection needs both 2D analysis and 3D volume measurement. Conventional methods suffered slow speed and low reliability. This paper proposed inspecting by grating projection phase shifting profilometry 3D scale fusion with 2D image features, which help phase...
In order to get high-resolution multispectral images, multispectral and panchromatic images are fused. The high frequency parts are fused by a fuzzy rule, low frequency parts fusion is performed by means of a weighted average. Experiments indicates that the fusion algorithm can obtain better results.
In this paper, we propose a new fusion scheme for multi-focus images based on special edge information called discriminative edge points. A new focus measure is also proposed to identify which pixels in the source images can be included in the resultant image to achieve the best fusion result by evaluating the salient weights for the discriminative edge points within a dynamic focus-measuring window...
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