Object Detection and Recognition in Images  
  Authors : Amruta Chavan; Dipali Bendale; Radha Shimpi; Pradnya Vikhar

 

Object Detection and recognition is an important task in image processing and computer vision. It is concerned with determining the identity of an object being observed in an image .Humans can recognize any object in the real world easily without any efforts. But computerize recognition of object in image is not easy task. In such system some problems are occurred such as lightning, mirroring, rotating. It also used Sketch based system for object detection in which user can draw the images by hand and then matches the images from the database. The system developed has many types of applications in the field of Medical Diagnose, Cartography, and Robotics.

 

Published In : IJCAT Journal Volume 3, Issue 3

Date of Publication : March 2016

Pages : 148 - 151

Figures :09

Tables : --

Publication Link :Object Detection and Recognition in Images

 

 

 

Amruta Chavan : KCES’s COEIT, North Maharashtra University, Jalgaon, Maharashtra, India

Dipali Bendale : KCES’s COEIT, North Maharashtra University, Jalgaon, Maharashtra, India

Radha Shimpi : KCES’s COEIT, North Maharashtra University, Jalgaon, Maharashtra, India

Pradnya Vikhar : KCES’s COEIT, North Maharashtra University, Jalgaon, Maharashtra, India

 

 

 

 

 

 

 

Multi-object Detection, Object Recognition, Object Recognition Applications

The Object Detection and Recognition system in Images is web based application which mainly aims to detect the multiple objects from various types of images. To achieve this goal shape and edge feature from image is extracted. It uses large image database for correct object detection and recognition. This system will provide easy user interface to retrieve the desired images. The system have additional feature such as Sketch based detection. In Sketch detection user can draw the sketch by hand as an input. Finally the system results output images by searching those images that user want.

 

 

 

 

 

 

 

 

 

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