Week 4

Week 4

Group meeting and research findings. :-
 The intelligent digit/letter image recognition technology is based on MATLAB, this technology is divided into two parts, ‘pre-process’ and ‘recognition’. This blog talking about first part how to process an image to make the computer can distinguish it.

In the program design the input image should be a gray and binaryzation, as for colour image can be modified in following method:

                                          Original image       gray image

                                     

                                                                Binaryzation

The next step is finding the edge of the image and crops it from image. The aim of image segmentation technology is to pick up the image as desired. This technology can be applied to many disciplines. The classical approaches to pick up image are threshold method, edge detection and regional image segmentation.

Threshold method:
As for binaryzation image set the threshold value based on the target image, then classify the pixel into series parts, then computer will find the pixel which satisfy the threshold to pick up image.

Edge detection method:

This method picks up the image based on the difference of the edge. The differences include gray, colour and textural features. The computer detects the difference characteristic of image to determine edge.  The edge detection is based on operation, such as, ‘Roberts’, ‘Laplace’, ‘Prewitt’, ‘Sobel’ and ‘Robinson’.  This method can be effective to the image which grey has great changes and small noise otherwise may make the image lost edge and discontinuous. As for the noise image can apply ‘Marr operator’, filter and ‘Canny operator’ to filter noise and derivation or fitting image then represent the numerical derivative by fitting derivative.

Regional image segmentation:
This edge detects method is based on characteristic of image such as:  grey, colour, texture and pixel, then classify the pixel to different region; finally, segment the image to different parts. The regional image segmentation includes region growing method, split and synthesis method and watershed segmentation.

The program design:

The next step is scalable processing for dissected image to make it equals to 16x16 matrix.

Poster Discussion:- 

  one of the images we made for the poster

- we discussed how the information the poster will have and its headings which are :-

                                >Intro

                                >Methodology

                                >Processes

                                >conclusion