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Image Mosaicing is a method of combining two or more images into a single set of large image. Mosaic image is created from a partial views to obtain large view of a scene and it has many applications. This paper discusses a review on distinct algorithms of feature detectors and descriptors. Typically five phases are included in an Image Mosaicing. They are: Feature Extraction, Image Registration, Homography Computation, Image Warping and Blending. The Feature Extraction can be done by using multiple corner detector algorithms. Many feature Descriptors are discussed with necessary equations. Homography can be estimated by different methods, like RANSAC-Random Sample Consensus, LMS-Least median of squares and HoughTransform.Image Warping used for creative purposes and corrects the distort images.Image Blending is the technique to minimize artifacts of the mosaic imageby modifying the image gray levels to appear richvicinity of an output image

Color blindness is commonly known as color vision deficiency, the vision defect which presented in our eye ball recognition of color is the major problem for the people who are having color blindness. In this work, we are proposing a hand held real-time automated guidance system to detect and label the color name for color blind persons that will help to identify and label color which they can't do using natural eyes. We designed this Real-time application using Matlab Simulink model. This Paper mainly focusing and developing the users interface it can detect the color and label the color name which is shown by using video glasses. This system mainly consists of computer, raspberry pi B, camera module, and video glasses.

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There are various means of electronic communication however only limited inconvenient options are available to the hearing impaired subject. We propose to teach the hearing impaired the correlation of lip movements with information, in speech. Therefore, we propose a technique to help learn hearing impaired primary school children to communicate using visual lip movement cues, deploying MATLAB software. Requisite programmings have written in MATLAB, convenient software for image processing of visual lip movement cues. Short video sequences availability, has been found to a major learning resources for this techniques)