EXPERIMENT NO. 3
TITLE: Contrast stretching and image negative
AIM: To perform contrast stretching of the given image using point processing techniques
and to find negative of the image.
THEORY: In this experiment we are going to study few examples of ima
EXPERIMENT NO. 11
TITLE: EDGE DETECTION
AIM: To perform edge detection using Sobel, Laplace.
Edges characterise object boundaries and therefore useful for segmentation and
identification of objects in the scenes. Edge is the boundary between two r
University Exam No.
MAHARASHTRA INSTITUTE OF TECHNOLOGY, PUNE
Study of different Image File Formats
e.g. BMP, TIFF, PGM and extraction of
attributes of BM
EXPERIMENT NO. 13
TITLE: Morphological Image Processing
AIM : To perform following morphological processing
THEORY : In image processing, Morphology means, study of topology or structure of
EXPERIMENT NO: 9
TITLE: DISCRETE COSINE TRANSFORM
A] To apply Discrete Cosine Transform (DCT) on an image. Reconstruct the image by
taking Inverse Discrete Cosine Transform (IDCT). Observe the effect of coefficient truncation
on the reconstructed ima
EXPERIMENT NO. 12
TITLE: Chain Code Algorithm
AIM: To find chain code algorithm for boundary representation. Decode the chain code and
reconstruct the Boundary.
Chain codes are used to represent a boundary by a connected sequence of straight line
EXPERIMENT NO. 7
TITLE : PSEUDO COLOURING
AIM : To perform pseudo colouring of gray scale image.
A. Pseudo colouring in spatial domain
B. Pseudo colouring in frequency domain.
THEORY : Pseudo image processing consists of assigning colours to gray
EXPERIMENT NO. 5B
TITLE: High pass & High Boost Filters (Sharpening filters)
AIM: To study high pass and high boost filtering of an image in spatial domain and
compare high pass filtering of an image with high boost filtering.
HIGH PASS FILTER
EXPERIMENT NO. 8
TITLE: IMAGE TRANSFORMS
AIM: Find Discrete Walsh Transform (DWT) of the given image. Reconstruct the image
by Inverse Walsh Transform (IDWT).
Find Discrete Fourier Transform (DFT) of the given image. Reconstruct the image
by Inverse Fouri
EXPERIMENT NO. 6.
TITLE: RGB TO YIQ / HSI COLOUR MODEL CONVERSION
AIM: To study different colour models (RGB, HSI, YIQ).
Part A: Convert RGB model image to YIQ/ HSI models.
Part B: Equalize histogram of colour image .
1) The RGB Colour Model : (R:
EXPERIMENT NO. 5A
TITLE: Mean, Median filtering of image (image smoothing)
AIM: To study spatial domain low pass filtering of an image with mean, median filters.
Compare the performance of these two filters. Observe the effect of varying mask size on
EXPERIMENT NO. 4
TITLE: HISTOGRAM EQUALIZATION
AIM: To find the histogram of an image and perform histogram equalization.
The histogram of a digital image is a discrete function
h(rk) = nk / n
where rk is the kth gray level
EXPERIMENT NO. 2
TITLE : Study of image properties.
: To study following basic properties of images.
Mean, Standard Deviation, Profile & Histogram
The definitions of the basic image properties are given bellow.
Image mean is the spatial
EXPERIMENT NO. 1
TITLE: Image file format conversion
AIM: A. To Read BMP File, convert it to PGM format and Display it on the screen.
B. To Read TIFF File, convert it to PGM format and Display it on the screen.
PART A: BMP FILE FORMAT
The BMP Form
EXPERIMENT NO. 10
TITLE : FREQUENCY DOMAIN FILTERING
AIM : To implement low pass filter and high pass filter in the frequency domain using
We can enhance the image by two techniques, first spatial domain operations and second