Just some random thoughts... One of the very first things we learned when we started going to school was to write. Writing is a representation of a language through the use of a set of symbols (in our case, alphabet). Before computers became popular, most people hand-write texts, letters, etc.; and the nature of the hand-written text is unique for each individual.
With this concept, how do people understand other people's handwritten text especially if it's too "ugly"?
--> I guess it's our innate ability to read words not letter by letter but by the first and last letters only and decipher the exact word instantly.
In relation to the handwritten text I was talking about above, I'll show in this blog post how to extract handwritten text from an imaged document with lines.
Thursday, August 25, 2011
Thursday, August 18, 2011
A11 - Playing notes by image processing
Listening to music is an integral part of my everyday life. It relaxes me and gives me my private moment.
Artists and musicians play the music we hear using a score sheet. A sheet with musical notes serving as a guide to perform a piece of music. So how do they play the music derived from a score sheet? A common answer would be via an instrument/voice.
But do you know that we can actually play a music using image processing? Cool!
In this blog post, we will extract musical notes from a digitized score sheet and play these in Scilab with the proper frequency and duration.
Artists and musicians play the music we hear using a score sheet. A sheet with musical notes serving as a guide to perform a piece of music. So how do they play the music derived from a score sheet? A common answer would be via an instrument/voice.
But do you know that we can actually play a music using image processing? Cool!
In this blog post, we will extract musical notes from a digitized score sheet and play these in Scilab with the proper frequency and duration.
Wednesday, August 3, 2011
A10 - Binary Operations
In connection to my previous blog post on Morphological Operations, I will discuss the techniques involved in Binary Operations. As what you can infer from the name, it is all about operations involving binarization of an image.
Why and where is this technique useful then? Why binarize the image in the first place?
--> The answer is simple, binarizing an image makes it easier to separate the region of interest (ROI) from a background. If the separation is successful, we can then perform many processes in understanding the ROI. For example, in medical imaging, cancerous cells are often larger than normal cells, thus we can easily detect and separate them from the background and from normal cells by applying binary operations. Reading through this blog post will give you an idea on the procedure of this technique.
Why and where is this technique useful then? Why binarize the image in the first place?
--> The answer is simple, binarizing an image makes it easier to separate the region of interest (ROI) from a background. If the separation is successful, we can then perform many processes in understanding the ROI. For example, in medical imaging, cancerous cells are often larger than normal cells, thus we can easily detect and separate them from the background and from normal cells by applying binary operations. Reading through this blog post will give you an idea on the procedure of this technique.
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