Dear All,
Lab is scheduled everyday from 2pm-5pm.
Day 0 (7th Dec, 2011)
Matlab Tutorials
Time : 2:00pm onwards
Description : The session will serve as a general introduction to MatLab. It is expected that the participants know basic concepts on programming and have a prior experience with programming. The session will be a hands-on session. You can download the notes for this session from the download section below.
Download :
Matrices and Arrays [PDF]
Program Flow [PDF]
You may also like to access the MathWorks official Matlab “Getting Started” guide : [URL]
Day 1 (8th Dec, 2011)
Applications of Image Processing
Time : 9:30 – 10:15
Speaker : Manohar Kuse
Description : The aim of this talk is to give a brief overview of the applications of image processing and to motivate the participants for their final projects.
Image Representation
Time : 10:30 – 11:15
Speaker : Bhavya Agarwal
Description : This section of the workshop shall introduce to the concept of image as a matrix. At the end of this session, participants should be able to do simple manipulations in an image.
Intensity Transformations
Time : 11:30 – 12:15
Speaker : Gaurav Mittal
Description : Participants will be given an overview of various techniques to bring about changes in an image by means of manipulations of intensity values.
Download:
Sample Image dataset [RAR]
Applications of Image Processing [PPTX]
Image Representation [PPTX]
Intensity Transformation [PPTX]
Lab Assignment [PDF]
Lab Assignment 2 [PDF]
Day 2 (9th Dec, 2011)
Doubt Clear Session
Lab Session From 9:30 – 12:30
Lab Session From 2.00 – 5.00
Day 3 (10th Dec, 2011)
Spatial Filtering
Time : 9:30 – 10:45
Speaker : Sunil Jaiswal
Description :
Spatial filtering refers to use of filters in the x-y space of the image. You will learn about how to blur (smooth) an image. What does low pass and high pass mean in images.
Edge Detection
Time : 11:00 – 12:15
Speaker : Dushyant Goyal
Description :
Edges are important attributes to be detected in an image for various analysis. This session will teach to the basic techniques towards detecting edges.
Downloads:
Spatial Filtering [PDF]
Edge Detection [PDF]
Assignment [PDF]
Day 4 (12th Dec, 2011)
Introduction to Noise
Time : 9:30 – 10:15
Speaker : Sunil Jaiswal
Description :
This is an introduction about “What is noise”. This also describes various types of noise.
Noise Removal Techniques
Time : 10:30 – 11:15
Speaker : Gaurav Mittal
Description :
Different filters shall be studied to remove noise.
Histogram Techniques
Time : 11:30 – 12:15
Speaker : Manohar Kuse
Description :
You will learn about the histogram and basic histogram techniques viz. Histogram Equalization and Histogram Matching
Download:
Introduction to Noise [PDF]
Noise Removal Techniques [PDF]
Histograms Techniques [PDF]
Assignment [PDF]
Noise Dataset [ZIP]
Optional Assignment [PDF]
Image Mosaic Data [ZIP]
Day 5 (13th Dec, 2011)
Doubt Clear Session
Lab Session From 9:30 – 12:30
Lab Session From 2.00 – 5.00
Day 6 (14th Dec, 2011)
Introduction To Open CV
Time : 9:30 – 10:15
Speaker : Manohar Kuse
Description :
OpenCV is a library in C++ for image processing and computer vision. You will be introduced to it and hands on demo shall be made on its usage.
Image Interpolation
Time : 10:30 – 11:15
Speaker : Sunil Jaiswal
Description :
Learning to resize images. Techniques behind “zoom in” and “zoom out”
Image And Video Compression
Time : 11:30 – 12:15
Speaker : Dushyant Goyal
Description :
A basic idea on compression techniques for images and its importance.
Downloads :
Opencv Kit [ZIP]
Introduction to OpenCV [PPTX]
Image Interpolation [PDF]
Image Compression [PDF]
Assignment [PDF]
Day 7 (15th Dec, 2011)
Open CV continued
Time : 9:30 – 10:15
Speaker : Bhavya Agarwal
Description :
More in-depth in OpenCV. OpenCV is a C++ library for computer vision and image processing.
Morphological Operations
Time : 10:30 – 11:15
Speaker : Bhavya Agarwal
Description :
Operations on binary blobs.
Visible Watermarking
Time : 11:30 – 12:15
Speaker : Gaurav Mittal
Description :
Algorithms behind image water-marking
Binary Images Dataset [RAR]
Day 8 (16th Dec, 2011)
Doubt Clear Session
Lab Session From 9:30 – 12:30
Lab Session From 2.00 – 5.00
Day 9 (17th Dec, 2011)
Image Segmentation
Time : 9:30 – 10:15
Speaker : Manohar Kuse
Description :
Image Segmentation is the process of dividing images up into meaningful subsets that correspond to surfaces or objects. This is a central problem in vision, because recognition and reconstruction often rely on this information. Here we plan to study the level-1 techniques for segmentation.
Introduction to Machine Intelligence
Time : 11:30 – 12:15
Speaker : Manohar Kuse
Description :
Machine intelligence contributes to extracting features from segmented objects. The main focus would then on categorizing objects based on a feature set.
Our Work
Time : 02:00 – 03:00
Speaker : Manohar Kuse, Dushyant Goyal, Gaurav Mittal, Sunil Jaiswal, Bhavya Agarwal, Ayush Kumar
Description :In this session a brief intro of our (organizers) work will be given. This session will help you regarding your project ideas. Few project ideas to be discussed as well
LNMIIT DIP Workshop 