Turn your Social media in to Paychecks with right Social Media Optimization Strategy

Social media optimization is the process of increasing the awareness of product or service or brand or event by using social media . Social media includes all the common Twitter,  Facebook , Linkedin , Pinterest , Blogger etc which have large content contributions . To generate the viral publicity we need a unique user generated content base mostly all business focused on listed in Google's first page results using SEO and keyword......

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Edge Detection in Image Processing - MATLAB program

Edge detection methods for finding object boundaries in images Edge detection is an image processing technique for finding the boundaries of objects within images. It works by detecting discontinuities in brightness. Edge detection is used for image segmentation and data extraction in areas such as image processing, computer vision, and machine vision. Prewitt Edge Detection sobel Edge Detection canny Edge Detection log Edge Detection robert Edge Detection here is the program for the above edge detections  https://github.com/ebine/edgedetection......

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Digital Steganography: Hiding Data within Data - MATLAB Program

Uses of Steganography Steganography is a means of storing information in a way that hides that information’s existence. Paired with existing communication methods, steganography can be used to carry out hidden exchanges. Governments are interested in two types of hidden communications: those that support national security and those that do not. Digital steganography provides vast potential for both types. Businesses may have similar concerns regarding trade secrets or new product information. Avoiding communication in well-known forms greatly reduces the risk of information being leaked in......

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Efficient Dilation, Erosion, Opening, and Closing Algorithms in MATLAB

Abstract  We propose an efficient and deterministic algorithm for computing the one-dimensional dilation and erosion (max and min) sliding window filters. For a p-element sliding window, our algorithm computes the 1D filter using 1:5 þ oð1Þ comparisons per sample point. Our algorithm constitutes a deterministic improvement over the best previously known such algorithm, independently developed by van Herk [25] and by Gil and Werman [12] (the......

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