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The goal of multi-modal image fusion is to combine complementary information from multisensory data such that the fused image is more suitable for the purpose of human visual perception, computer-processing tasks and detection applications. In this paper, we first use independent component analysis (ICA) as the primary transformation to obtain adaptive analysis bases trained by similar reference images;...
In this paper, we propose a novel region grouping approach to shape matching. It is proposed as an alternative region based approach to the traditional edge based shape matching using distance transforms. It has the advantage of obtaining a higher detection rate and obtaining meaningful object segmentation simultaneously. Each image is first segmented into image regions, and possible matches are found...
In this paper, we propose an approach to preserve a crucial visual cue in color to grayscale transformation: attention. The main contributions are three folds: 1) preserving visual attention is more biological plausible than preserving other low level cues, which makes our method more reasonable in theory from both biological and psychological aspects, 2) We treat the saliency map from visual attention...
In novel look-up table (N-LUT) method, the size of LUT is determined by the amount of shift of the principle fringe pattern (PFP). Thus, if the resolution of object is increased or pixel pitch of hologram is decreased, the size of LUT is increased. Therefore, in this paper, we propose the memory reduction method using the relation of pixel pitch of hologram and reconstruction distance. Some experiments...
In this paper, we propose a content-based image retrieval system based on an efficient combination of both color and texture features. According to HSV (Hue, Saturation, and Value) color space, we quantified the color space into non-equal intervals, and then construct a one dimensional feature vector and represented the color feature. Similarly, the work of texture feature extraction is obtained by...
We propose a novel human detection system with thermal and visible image sensors using a new joint bilateral filter. There is a limitation to the performance of devices which attempt to detect humans by using only one sensor. Therefore, we use two sensors: an infrared sensor and a color image sensor. To fuse the best features of both types of sensor in order to achieve superior performance in human...
Humans are adept at identifying informative regions in individual images, but it is a slow and often tedious task to identify the salient parts of every image in a large corpus. A machine, on the other hand, can sift through a large amount of data quickly, but machine methods for identifying salient regions are unreliable. In this paper, we develop a new method for identifying salient regions in images...
This paper presents a novel framework for image segmentation. In this framework, image segmentation is considered to be a detection problem, and a “soft” segmentation objective function, in terms of the detection performance measure in local regions, is employed to guide the segmentation procedure. The human visual system information is also incorporated into the segmentation procedure to improve...
Color constancy (CC) or white balance (WB) is an important image processing step in digital camera and machine vision. This paper presents a robust computational algorithm that offers an accurate solution for CC. The proposed CC measure exploits the scanning strategy of RGB channel gain adjustment. In addition, the suppressing mechanism of grayscale pixel maximization (GPM) is used to locate potential...
CAPTCHA stands for Completely Automated Public Turing Tests to Tell Computers and Humans Apart. A CAPTCHA is a program that protects websites against bots -automated scripts by generating and grading tests that humans can pass but current computer programs cannot. For example, humans can read distorted text but current computer programs can't. The threats from bots is growing rapidly and also increasing...
Human face tracker is one of important research areas that is continuously developing. Many methods have been developed for performing an effective and efficient face tracker based system application. One category of the face tracker methods is the real-time face tracker, which is a challenging task in this field. This paper presents a real-time human face tracker development using facial feature...
In the majority of cases blindness is caused by retinal degenerative conditions such as Age-Related Macular Degeneration (AMD) and Retinitis Pigmentosa (RP). However, blind individuals still retain central visual pathways and processing mechanisms. Recent advances in Time of Flight (TOF) imaging technology have presented new opportunities to develop improved sensory substitution systems for compensation...
In this paper, a Bayesian Network (BN) framework for unsupervised evaluation of image segmentation quality is proposed. This image understanding algorithm utilizes a set of given Segmentation Maps (SMs) ranging from under-segmented to over-segmented results for a target image, to identify the semantically meaningful ones and rank the SMs according to their applicability in image processing and computer...
A quick estimation of depth is required by artificial vision systems for their self survival and navigation through the environment. Following the selection strategy of biological vision, known as visual attention, can help in accelerating extraction of depth for important and relevant portions of given scenes. Recent studies on depth perception in biological vision indicate that disparity is computed...
A new method for auto seal authentication with a new image capture device is presented. Different from traditional one, the seal is separated into several sub-blocks, then DCT signs indexed by the locations that we selected under a rule are checked for all of these blocks. Hence the block, that is, the location of doubtful part on the seal image in the authentication result is also able to be output...
In this paper, a new face detection algorithm based on fractal theory and complexion model is proposed. On the basis of the traditional face detection, the new algorithm estimated the fractal dimension of face area to exclude the non-face area and extract the face area fast and accurately. Furthermore, its calculation is simple and it can realize multi-angle detection in the complex background. As...
Human face detection is a key technology in face information processing, the speed of which is very important during real-time face detection for input images or input video sequences. This paper presents a novel face window searching algorithm based on evolutionary agent when detecting faces in gray-scale images. It can quickly And the candidate face windows through the evolutionary computation of...
This paper analyses and implements a novel technique to filter objectionable adult images displayed in websites, as this problem remains an interesting issue to be addressed in the current scenario. The algorithm is aimed to achieve precise performance, even in distinctive circumstances, where face detection becomes impossible. This is realized by using an ancillary technique in which the Human Body...
In this paper, a memory-based Gaussian Mixture Model (MGMM) is proposed inspired by the way human perceives the environment. The human memory mechanism is introduced to model the background, which can make the model remember what the scene has ever been and help the model adapt to the variation of the scene more quickly. Experimental results show the effect of the memory mechanism in segmenting moving...
A main source of problem in human cardiac diffusion tensor magnetic resonance imaging (DT-MRI) is the presence of high noise that buries useful information such as edges, details, and even whole objects. We propose a new enhancement approach based on the combined use of non-stationarity degree (NSD) notion and amoebas algorithm. The method consists of first calculating the NSD at each pixel of the...
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