Get fully solved assignment. Buy online from website
online store
or
plz drop a mail with your sub code
we will revert you within 2-3 hour or immediate
Charges rs
125/subject and rs 375/semester only.
if urgent then call us
on 08791490301, 08273413412
PROGRAM
BCA(REVISED 2007)
SEMESTER - 6
SUBJECT CODE &
NAME
BC5902 - IMAGE
PROCESSING
CREDIT - 4
BK ID - B1013
MAX. MARKS – 60
Q1. State the
applications of Image Processing and list the examples. 10
Answer:
Applications of Image Processing: Digital image processing has a
broad spectrum of applications, such as remote sensing via satellites
and other spacecrafts, image transmission and storage for business
applications, medical processing, radar, sonar, robotics and automated
inspection of industrial parts. Images acquired by satellites are useful
in tracking of earth resouces, geographical
Q2. Explain the basic concepts of Sampling and
Quantization. 10
Answer:
Basic concepts in Sampling and
Quantization: The
basic idea behind sampling and quantization is illustrated in Fig. Figure
(a) shows a continuous image, f (x, y), that we want to convert to digital
form. An image may be continuous with respect to the x – and y-coordinates,
and also in amplitude. To convert it to digital form, we have to sample
the function in both coordinates and in amplitude. Digitizing the coordinate
values is called sampling. Digitizing the amplitude values is called
Q3. Define the process of Histogram. 10
Answer: Histogram Processing:
The histogram of a
digital image with gray levels in the range [0, L-1] is a discrete function
Q4. State any four properties of Fast Fourier
Transform (FFT) 10
Answer: Properties of FFT:
Translation:
Q5. What is Global Thresholding and Adaptive
Thresholding? 10
Answer:
Global Thresholding: The simplest of all thresholding
techniques is to partition the image histogram by using a single global
threshold, T. Segmentation is then accomplished by scanning the image
pixel by pixel and labeling each pixel as an object or background,
depending on whether the gray level of that pixel is greater or less
than the value of T. The threshold can be specified by using a heuristic
approach, based on visual inspection of the histogram. The following
algorithm can be used to detain T
Q6. Briefly explain about one Image Compression
model, the Source Encoder and Decoder. 10
Answer:
Image Compression Models: Figure shows a compression system
consisting of two distinct structural blocks: an encoder and a decoder.
An input image f(x, y) is fed into the decoder, which creates a set of
symbols from the input data. After transmission over the channel, the
encoded representation is fed to the decoder, where a reconstructed
output image (x, y) is generated. In
general, (x, y) may or may Get fully solved assignment. Buy
online from website
online store
or
plz drop a mail with your sub code
we will revert you within 2-3 hour or immediate
Charges rs
125/subject and rs 375/semester only.
if urgent then call us
on 08791490301, 08273413412
No comments:
Post a Comment