Convert Image to Base64 String and Base64 String to Image | |||
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| Online Converter Image to Base64 This article will help you to learn how we can convert an image into a base64 string and base64 string back to image. Image to Base64 Stringpublic string ImageToBase64(Image image, System.Drawing.Imaging.ImageFormat format) { using (MemoryStream ms = new MemoryStream()) { // Convert Image to byte[] image.Save(ms, format); byte[] imageBytes = ms.ToArray(); // Convert byte[] to Base64 String string base64String = Convert.ToBase64String(imageBytes); return base64String; } } Base64 String to Imagepublic Image Base64ToImage(string base64String) { // Convert Base64 String to byte[] byte[] imageBytes = Convert.FromBase64String(base64String); MemoryStream ms = new MemoryStream(imageBytes, 0, imageBytes.Length); // Convert byte[] to Image ms.Write(imageBytes, 0, imageBytes.Length); Image image = Image.FromStream(ms, true); return image; } | |||
| C# | Utility Information Courtesy : http://www.dailycoding.com/Posts/convert_image_to_base64_string_and_base64_string_to_image.aspx |
Showing posts with label and. Show all posts
Showing posts with label and. Show all posts
Monday, October 1, 2012
Convert Image to Base64 String and Base64 String to Image
Wednesday, February 29, 2012
Advantages and Disadvantages of Decision Tables / Decision Trees
Decision Table(MATRIX) Advantages
Help the Analyst to ensure the completeness and the accuracy.
Decision Tree Advantages
Easy to understand
Map nicely to a set of business rules
Applied to real problems
Make no prior assumptions about the data
Able to process both numerical and categorical data
Decision Tree Disadvantages
Output attribute must be categorical
Limited to one output attribute
Decision tree algorithms are unstable
Trees created from numeric datasets can be complex
Help the Analyst to ensure the completeness and the accuracy.
Decision Tree Advantages
Easy to understand
Map nicely to a set of business rules
Applied to real problems
Make no prior assumptions about the data
Able to process both numerical and categorical data
Decision Tree Disadvantages
Output attribute must be categorical
Limited to one output attribute
Decision tree algorithms are unstable
Trees created from numeric datasets can be complex
Labels:
Advantages,
and,
Decision,
Decision Trees,
Development,
Disadvantages,
Methods,
of,
Points,
SSADM,
System,
Tables
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