image processing

Closed Posted Dec 9, 2014 Paid on delivery
Closed Paid on delivery

A: Data Collection.

1- Dataset collection: Collect hundreds of grayscale images (200 hundred is the minimum). The dataset should include a least 4 categories. (e.g cars, horses, buildings, tigers…).

The categories should be balanced (approximately the same number of images for each category).

2- Dataset labeling:

a. Assign a Label to each image. (E.g. For car image assign 1, horse 2, building 3 and tiger 4…).

b. After ordering your images, construct a vector containing the label of each image in same order of the images.

c. Save all images in a directory called ImagesDatayourNamed. Save the list of the image names ordred and its corresponding labeling vector in [login to view URL] and [login to view URL] files.

3- If needed, enhance or/and restore the images. Explain why it is need and the choice of the performed method.

B: Feature Extraction:

1- For each image from the image Data, extract at least one color feature.

2- Normalize you data. For each Feature, make each entry between 0 and 1 for all images.

3- Save each Feature in an MxN matrix where M is the number of images and N is the dimension of your Feature vector. You have to use the same order of the images as the one in your name and label files

4- Write a Readme File that describes each Feature used, indicates the corresponding name of the Feature file, and the name of the Matlab function that extract it.

C: Retrieval:

1. Query Image Q (Selection and display): Select and display the query image.

2. Retrieved image Rank 1, 2,3 and 4: Display the resulting retrieved image.

3. Dist(Q,R1), Dist(Q,R2), Dist(Q,R3), Dist(Q,R4): display the distance between the query and the retrieved image under the retrieved one.

4. Score of this retrieval: evaluates the current [login to view URL] Report:-The final report should roughly have the following format:

 Introduction - Motivation

 Problem definition Proposed method

 Experimentso Details of the experiments; observations

 Conclusions

Note:-

- you need to change all the images that to collect to grayscale before you start working.

Matlab and Mathematica

Project ID: #6842980

About the project

9 proposals Remote project Active Jan 15, 2015

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SML2014

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aminariaz

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jap2013

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mimoban

I can do this. Time: 7 Days and price: 112 USD' Reply if you agreed........................................

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ahmed4support

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