Microsoft Office Project
Resume:
RESUME
M.V.Lakshmi Prasanna
:***************@*****.***
OBJECTIVE:
To be associated with a professional work driven environment where I can utilize and apply my knowledge and skills which would enable to keep me growing with latest trends and technologies
CARRER SUMMARY:
B.Tech Fresher with interest to grow in the field of networking and software with good knowledge of C language.
ACADEMIC QUALIFICATIONS:
Qualification
Board/University
Year
Percentage
B. Tech
(ECE)
JNTU Kakinada
2012-16
68%
Intermediate
Board of Intermediate Education
2010-12
93%
High School
Board of Secondary Education
2010
82%
TECHNICAL SKILLS:
Microsoft Office
Language: C, Matlab
ACHIVEMENTS:
Participated in Art-Expo in our college and got prize.
Event Organizer in College Annual Day and other Technical Events in our College.
Organized many Techno Cultural Events in our College.
Active Author for the Multi Purpose Blogs.
CO-EXTRA CURRICULAR ACTIVITES:
Winners in kabaddi Competitions in Inter college games.
I was a volunteer in NSS Programme in Blood Donation and Plantation.
ACADAMIC PROJECT:
Project Title : Object oriented shadow detection and removal for urban high resolution remote
Sensing Images.
Project Duration : 4 months
Role : Team lead
Team size : 4
Decsription :
This Project mainly focous to get the high resolution colour remote sensing image and also Shadow features are taken into consideration during image segmentation, and then, according to the statistical features of the images, suspected shadows are extracted. Furthermore, some dark objects which could be mistaken for shadows are ruled out according to object properties and spatial relationship between objects. For shadow removal, inner–outer outline profile line (IOOPL) matching is used. First, the IOOPLs are obtained with respect to the boundary lines of shadows. Shadow removal is then performed according to the homogeneous sections attained through IOOPL similarity matching. The shadow features are evaluated through image segmentation, and suspected shadows are detected with the threshold method. Object properties such as spectral features and geometric features are combined with a spatial relationship in which the false shadows are ruled out (i.e., water region).and main advantages for this project is The proposed stably and accurately identify shadows. It is suitable for high-resolution urban remote sensing images.
STRENGTHS:
Quick learner.
Attention to detail.
Quality focus.
Adaptive capabilities.
PERSNOAL DETAILS:
Gender : Female
Date of Birth : 10-06-1993
Religion : Hindu
Nationality : Indian
Marital status : Married
Languages Known : English, Telugu and Hindi
Permanent Address : W/O C.Saiprasad, D/N: - 4-158, Jonnagiri(V) thuggali (Mandal)
Kurnool (Dist.),Andhra Pradesh-518390
Declaration:
I hereby declare that the facts given above are correct to best of my knowledge and belief
Place : Signature,
Date : (M.V.Lakshmi Prasanna).
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