CSE 7th sem, Data Mining notes

Use below link to download ppt(s) for your data mining paper, might be helpful to you :)

PPT files
http://www.4shared.com/rar/o7mqmeWv/Data_mining_2nd_edition_ppt.html


Lecture notes
http://ptucse.loremate.com/dw/

MAKE-UP TEST (ODD SEMESTER) 2012

CET-IILM-ACADEMY OF HIGHER LEARNING
MAKE-UP TEST,(ODD SEMESTER),2012
COMPUTER SCIENCE & ENGINEERING
SEM	DAY              TIME	11.00 A. M.-12.00 P.M.	3.00 P. M.-4.00 P.M.
3RD SEM	26/11/2012 (Monday)	EAS-301 Math. III
	27/11/2012  (Tuesday)	ECS-301 DLD
	29/11/2012  (Thursday))	ECS-302 Data Structure
	30/11/2012  (Friday)	ECS-303 Discrete Mathematics	EHU-302Ind  Indus Soc.
	1/12/2012(Saturday)
	3/12/12(Monday)	ECS-304 ITIM
5TH SEM	26/11/2012 (Monday)	ECS-502 DAA
	27/11/2012  (Tuesday)	ECS-501 OS
	29/11/2012  (Thursday))	ECS-503 OOT
	30/11/2012  (Friday)	ECS-504 CG	EHU-501 EME
	1/12/2012(Saturday)
	3/12/12(Monday)	ECS-505 GT
7TH SEM	26/11/2012 (Monday)	ECS-701 Distributed System
	27/11/2012  (Tuesday)	ECS-075 Data Mining
	29/11/2012  (Thursday))	ECS-073 Parallel algorithm
	30/11/2012  (Friday)	ECS-702 DIP	Open Elective(EOE-072/73 QM/OR)

IT lab & project lab info

INFO for CSE 7th sem,

IT Lab Viva: submit report file and come with ppt for presentation (Individual)
Project Lab Viva: submit synopsis and presentation with group

DIP 5th unit notes

Unit 5th notes:

Image Registration

http://www.4shared.com/rar/IIBa_xJt/Registration.html

Segmentation, Edge and line detection

http://www.4shared.com/rar/xLwHDJml/Unit_5.html

CSE 7th sem - DIP 3rd Sessional syllabus

Refer: Fundamentals of Digital Image Processing, A.K. Jain. Published by Prentice Hall,
Upper Saddle River, NJ. 


UNIT-IV

Morphological Image Processing
Introduction, Logic Operations involving Binary Images, Dilation and Erosion, Opening and Closing, Morphological Algorithms – Boundary Extraction, Region Filling, Extraction of Connected Components, Convex Hull, Thinning, Thickening.

UNIT-V Registration

Introduction: Geometric Transformation – Plane to Plane transformation, Mapping, Stereo Imaging – Algorithms to Establish Correspondence, Algorithms to Recover Depth.
Segmentation
Introduction, Region Extraction, Pixel-Based Approach, Multi-level Thresholding, Local Thresholding, Region-based Approach, Edge and Line Detection: Edge Detection, Edge Operators, Pattern Fitting Approach, Edge Linking and Edge Following, Edge Elements Extraction by Thresholding, Edge Detector Performance, Line Detection, Corner Detection.

DIP lab file

Do necessary editing as per instructions like theory part, execute program yourself with given code and add your detail by using title function and etc.

http://depositfiles.com/files/s1nbi03dr

CSE 5th sem JAVA program list

NOTICE

All the students of CSE III Year Section A & B are required to spell the name of their Lab faculty correctly. You can refer to the following names and designation of the faculty.

1.       Mr. Kuldeep Kumar, Asst. Prof. (CSE III Year Sec. B –G1)

2.       Mr. Shekhar Singh, Asst. Prof. (CSE III Year Sec. A –G1 & G2)

3.       Mr. Munesh Kr. Yadav , Asst. Prof. (CSE III Year Sec. B –G2)

Program List

1.      WAP to demonstrate method overloading in JAVA.

2.      WAP to demonstrate method overriding in JAVA.

3.      WAP to demonstrate inheritance in JAVA.

4.      WAP to demonstrate abstract classes & methods in JAVA.

5.      WAP to demonstrate polymorphism in JAVA.

6.      WAP to concatenate two strings in JAVA.

7.      WAP to except input from the user and print.(Characters & Statements).

8.      WAP to create a package in JAVA.

9.      WAP to for exception handling in JAVA

10.  WAP to create an Applet in JAVA.

CSE 7th DIP program list and instruction

Instruction:

1. Prepare DIP lab file as per below instructions, student(s) without lab file are no allowed for practical viva.

2. Every program must contain 4 sections: Objective, Theory, Code, Output.

3. Include these three lines of code at starting of every program/code:

>>Clear all

>>Close all

>>Clc

4. Add your details in program output by using title function

EX: figure, imshow(variable_name), title('Program_title - Student_name - Rollno');

5. Convert every image (rgb) to grayscale using rg2gray function before any operation.

6. Refer Digital Image Processing using MATLAB by Gonzalez & Woods.

List of program:

1.       Write a program (in MATLAB) to read an image file and display its properties.

2.       Write a program (in MATLAB) to show multiple image or output in single figure window using subplot function with title.

3.       Write a program (in MATLAB) to read an image and subtract 100 gray-level intensity form it and save enhanced image data using imwrite funciton to current folder of matlab.

4.       Write a program (in MATLAB) to enlarge an image to its double size and shrink an image to its half size.

5.       Write a program (in MATLAB) to rotate an image in clockwise and anticlockwise direction.

6.       Write a program (in MATLAB) to convert and rgb image to gray scale image.

7.       Write a program (in MATLAB) to implement the Basic Gray Level Transformation.

·         Image Negative

·         Log Transformation

·         Power Law Transformation

·         Piecewise Linear Transformation ( Contrast Stretching )

8.       Write a program (in MATLAB) to generate Histogram for an Image and plot histogram in various ways (imhist, bar, stem, plot).

9.       Write a program (in MATLAB) to perform Histogram Equalization.

10.   Write a program (in MATLAB) to implement Arithmetic and Logical operation:

·         Arithmetic operation: Image Addition, Subtraction, Multiplication and Division (use imadd, imsubtract, immultiply, imdivide functions)

·         Logical operation: AND, XOR, OR and NOT (use bitand, bitor, bitxor, bitcmp functions)

11.   Write a program (in MATLAB) to implement Smoothing Spatial Filters:

·         Linear filter (Standard Average/BOX, Weighted Average)

·         Ordered Statistic (Median)

12.   Write a program (in MATLAB) to implement Sharpening Spatial Filters:

·         Laplacian filter

13.   Write a program (in MATLAB) to implement Homomorphic filter. 

14.   Write a program (in MATLAB) to implement different Noise model:

·         Uniform noise

·         Gaussian noise

·         Salt & Pepper noise

·         Rayleigh noise

·         Exponential noise

·         Rrlang noise

15.   Write a program (in MATLAB) to implement Restoration in the presence of noise only - Spatial Filtering:

·         Arithmetic mean filter

·         Geometric mean filter

·         Harmonic mean filter

·         Median filter

·         Max filter

·         Min filter