In today’s period, there is a great impact of image registration and image fusion on many fields such civilian and defense areas to retrieve exact information about the particular image. the process in which different images of the same scene are captured as input images and those are combined in order to improvise the fused image content which gives more information and is complete than any of the input images. Different methods of image fusion technique are principal component analysis (PCA), Discrete Wavelet transforms (DWT), curvelet transform. Principal component analysis (PCA) is a spatial domain fusion technique, which deals with image pixels to reduce multidimensional data sets to lower dimensions for analysis.. Discrete Wavelet …show more content…
The goal behind the image fusion algorithm is to take redundant and complementary information from the source images and to generate an output image which becomes more suitable for the purpose of human visual perception. The reliability and overall detail of the image is increased, because of the addition of analogous and complementary information. Image fusion requires that images be registered first before they are fused. Image Fusion makes it a lot of advantages on remote sensing, medicine, computer vision, military target detection and identification that it has overcome the blind spot in many fields of science and technical difficulties. Especially in computer vision, image fusion technology has greatly improved the accuracy of the …show more content…
Shah and Prof. D.U. Shah have presented the Comparative Study of Image Fusion Techniques based on Spatial and Transform Domain. This paper presents two approaches to image fusion, namely Spatial Fusion and Transform Fusion. This paper describes Techniques such as Principal Component Analysis which is spatial domain technique and Discrete Wavelet Transform, Stationary Wavelet Transform which are Transform domain techniques. Performance metrics without reference image are implemented to evaluate the performance of image fusion algorithm. Experimental results show that image fusion method based on Stationary Wavelet Transform is remarkably better than Principal Component Analysis and Discrete Wavelet
Against a bleak backdrop, U.S troops stand thrusting an American flag into the grey skies. The shards of wreckage at their feet speak of the arduous journey these soldiers had taken to reach the summit of the mountain. Despite the grim setting on the ground, the American flag waves on in a perfect manner swaying along with the wind gusts. As a photograph taken by Joe Rosenthal in 1945, this image of U.S troops raising a flag in Iwo Jima during World War II served as a symbol of hope and victory for the American public during the gruesome end to war. The photograph earned Rosenthal a Pulitzer Prize, and showed the extant of the power of a photograph to elicit emotion from an audience. These emotions have the ability to affect ones’ perception towards what the photograph is depicting. However, if these photographs can produce an emotional response, is it possible for them to steer the perception of the audience in a desired direction? If so, is there a way for one to sift through the possible propaganda?
For combining the profit of PCA and wavelets, the capacity for each variable are decomposed to its wavelet coefficients by the same wavelet for each variable. This transformation of the data matrix brings X into a matrix, WX, while W is an n * n orthonormal matrix showing the orthonormal wavelet transformation operator that contains the filter coefficients.
Latina women have long been known for their passion, their sexuality, and their skills in housekeeping. It's a lucky man that finds himself married to a Latina: her fiery personality will never prove boring, and the house will always be spotless! Never mind that this isn't necessarily true, this is how they've been portrayed by television programs, radio, and word of mouth, so there must be something to it, right? Stereotypes often occur out of ignorance, be it for another group’s style, traditions, or history. If there's a way to group people, there's a stereotype pertaining to them, and stereotypes can provide a sharper cut than any blade. Three examples of this follow: the first cut targets a sole Latina, next, a slice into Irish ideals, and finally, a brutal stab into the heart of the Mexican perspective.
Color is widely remarked as one of the most demonstrative visual features, and as such it has been largely studied in the context of CBIR, thus number one to a rich variety of descriptors. As traditional color features used in CBIR, there are color histogram, color correlogram, and dominant color descriptor (DCD) [1,3,4]. A simple color similarity between two images can be
Augmented reality is a technological technique, which overlays a computer-generated image on a person’s view of the real world. According to a source, augmented reality is also defined as a mix of actions meant to enhance the awareness of a person’s real environment by putting virtual impression on live images or videos. It is a result of an enhanced and complex view of the world. The real power of augmented reality as a learning device is its ability to allow learners to see the world around them in new ways. It is help people to engage with the real issues in a setting with which the learners are already connected (Ennakr et al.). This paper will discuss the augmented reality technology in the education field and how it can make teaching and learning better.
Splicing detection is a complex problem whereby the composite regions are investigated by a variety of methods. The presence of abrupt changes between different regions that are combined and their backgrounds, provide valuable traces to detect splicing in the image under consideration. Farid [56] suggested a method based on bi-spectral analysis to detect introduction of un-natural higher-order correlations into the signal by the forgery process and is successfully implemented for detecting human-speech splicing. Ng and Chang [57] suggested an image-splicing detection method based on the use of bi-coherence magnitude features and phase features. Detection accuracy of 70% was obtained. Same authors later developed a model for detection of discontinuity caused by abrupt splicing using bi-coherence [58]. Fu et al. [59] proposed a method that implemented use of Hilbert-Huang transform (HHT) to obtain features for classification. Statistical natural image model defined by moments of characteristic functions was used to differentiate the spliced images from the original images. Chen et al. [60] proposed a method that obtains image features from moments of wavelet characteristic and 2-D phase congruency which is a sensitive m...
I chose to take a closer look at some studies of guided imagery and its effect on children. I chose this topic because I am curious to know more about this therapeutic modality, as I do not have extensive experience with it. I chose children as my population because I have experience counseling kids of all ages in a school setting and would like to learn more about how guided imagery may be an effective resource in working with them.
Abstract--- Biometrics covers a variety of technologies in which unique identifiable attributes of people are used for identification and authentication. Palm print recognition system is widespread bio-metric authentication systems. A palm print is the feature pattern on the basis of their edges. Each person has his own palm prints with the permanent uniqueness. The common problem for palm print recognition is finding the minutiae by its local features and edges. Rotation and location invariant of the different palm prints images is also a major problem for recognizing the actual palm print image. There is need to overcome form these difficulties and to work over these areas. The given paper gives the comprehensive review of Palm Print recognition
If this was a perfect world, the moment a person underwent a surgery there would be no risk of having after effects of a major surgery. The doctors would be able to diagnose, treat and cure patients without causing any harmful side effects but reality is the total opposite of this. There is something that is helping to improve the perfect world that we reside upon in the medical field with Medical Imaging this fact has been improving. The use of medical imaging has provided the opportunity to the doctors to see inside a patient without having to cut them open. Medical imaging is the visualization of body parts, tissues, or organs, for use in clinical diagnosis, treatment and disease monitoring. It has also helped on many other fields for example it the field of neurobiology and human behavior. Imaging techniques encompass the fields of radiology, nuclear medicine and optical imaging and image-guided intervention, furthermore medical imaging is justified also to follow the course of a disease already diagnosed and/or treated.
Sense perception is one of our ways of knowing which is critical to our understanding of the world around us. The above quote by William Blake emphasizes how our perception can be easily altered and unclear to us. Blake’s comment was popular in his day and in ours, giving its name to one of the most celebrated rock groups in the world, The Doors. This prescribed title involves what we consider to be the “truth” and our five windows to the world, sight, smell, taste, touch, and hearing inform us constantly about our environment and our accurate perceptions of it. One of the knowledge issues of this prompt is whether or not we can assume everyone has the same concept of “truth”. For the purposes of this paper we will focus on truth being “reality” and what actually exists in our external worlds.
Imagine a world with news coverage that lacked images or live footage of a current event or catastrophe. We would all find ourselves less drawn into the situation and feel less emotion because we would not be able to see the suffering of the victims. If this was the case, watching the news or reading an article would be like looking through a car ad with tons of descriptions about the cars, but no images. No matter how descriptive you are about the cars people still want to see a picture for that extra assurance and visualization. The same goes for news coverage or articles, if a horrific incident is being covered images are a vital element to include, especially graphic ones, because they help strengthen the story, allow the viewer/reader
This approach includes two processes, training and classification (Chelali, Djeradi & Dejradi, 2009). In the training process, a subspace will be established by using the training samples, and then the training faces will be projected onto the same subspace. In the classification process, the input face image will be measured by Euclidean Distance to the subspace, and a decision will be made, either accept or reject.
At feature extraction part, authors proposed geometric and appearance method to extract the facial feature points out and some authors also stated that by using both combination approaches, it will increase the accuracy compared to the system which only used one approach. From here, it already gave the idea to the project system that it has no harm in applying two approaches together.
Image intensification is the process of converting x-ray into visible light. “Early fluoroscopic procedures produced visual images of low intensity, which required the radiologist's eyes to be dark adapted and restricted image recording. In the late 1940s, with the rapid developments in electronics and borrowing the ideas from vacuum tube technology, scientists invented the x-ray image intensifier, which considerably brightened fluoroscopic images” (Wang & Blackburn, 2000, np). We will explore the image-intensification tube, the various gain parameters associated with the tube, and the magnification mode of the image intensifier.
Perception is a mysterious thing; it faces a lot of misconception, for it can merely be described as a lens, as it decides how someone views the events happening around them. Perception is the definition of how someone decides to use their senses to observe and make conceptions about events or conditions they see or that are around them. Perception also represents how people choose to observe regardless if it’s in a negative or positive way. In other words, perception can be described as people's cognitive function of how they interpret abstract situations or conjunctures around them. All in all, perception can do three things for someone: perception can change the way someone thinks in terms of their emotions and motivations, perception acts