Basics of Digital image and what are the regions of interest in an image

1. EXTRACTION OF REGION OF
INTEREST IN AN IMAGE
SUPERVISED BY : Dr. VIDYOTTAMA JAIN
PRESENTED BY : HARSUKH CHANDAK
ENROLLMENT NO.: 2014MSCS006
DEPARTMENT OF COMPUTER SCIENCE

2. CONTENTS
•Image types, Image formats and key terms for images
•What is digital image processing?
•Key stages in digital image processing
•Applications and Challenges in Digital Image Processing
•Conclusion
•References
1 pixel

3. IMAGE TYPES
• Analog image
• Digital image
-Black and White Images
-Color Images
-Binary / Bi-level Images
-Indexed Color Images
IMAGE FILE FORMATS
•Bitmap(Raster) images
-collection of dots, each pixel can hold 1 , 8,24… bit of
color information
•Vector graphics
-based on mathematical instructions
•Metafile graphics
-combination of bitmap and vector
IMAGE TYPES AND IMAGE FORMATS

4. KEY TERMS OF IMAGE
Pixels
•smallest addressable part of the
screen
•It is a tiny dot of particular color
Pixel Depth
•Refers to number of bits to store each
pixel
•greater depth, more colors
•greater depth, bigger file size
•ppi and dpi
•Resolution : is density of dots on image measured in DPI (dots per Inch)

5. DIGITAL IMAGE PROCESSING
A digital image is a representation of a two-dimensional image as a finite set of digital values,
called picture elements or pixels
Digital image processing focuses on two major tasks
◦ Improvement of pictorial information for human interpretation
◦ Processing of image data for storage, transmission and representation for autonomous
machine perception
Common image formats include:
◦ 1 sample per point (B&W or Grayscale)
◦ 3 samples per point (Red, Green, and Blue)

6. Key Stages in Digital Image Processing
Image
Acquisition
Image
Restoration
Morphological
Processing
Segmentation
Representation
& Description
Image
Enhancement
Object
Recognition
Problem Domain

7. Applications
•It improves the visual quality of an image and
the distribution of intensity.
•It can easily process an degraded image of un-
coverable objects
•It can process an image in such a way that the
result is more suitable than the original image
•The image compression technique reduces the
amount of data required to represent a digital
image.
•Mathematical and logical operations can be
performed on an image like addition
subtraction, OR etc.
Challenges
•Digital image processing requires high
amount of storage space and processing
power
•Effect of environmental conditions may
degrade the processed image quality
•It involves various types of redundancy like
data redundancy, inter-pixel redundancy
APPLICATIONS AND CHALLENGES IN IMAGE
PROCESSING

8. CONCLUSION
•Extraction of region of interest in an image is a part of Digital Image Processing. It
has various application in real life.
•The minor project is divided into the following parts:
-In the first part the work area is explained
-In the second part I will be selecting a particular field for extracting the region of
interest in an image and discuss the various operations performed on the image to
extract the features of region of interest.
-At last I will be implementing a method how we extract a region of interest in an
image in a selected field

9. REFERENCES
•Rafael C. Gonzalez, Richard E. Woods, 2nd Edition. “Digital image processing:
Pearson New International Edition”.
•S. Jayaraman . “Digital Image Processing”: Tata McGraw-Hill Education, 2011.

10. “Things that think…
don’t make sense unless they link.”
Thank You