ABSTRACT
Target detection in images is one of the most important applications of computer vision. Target detection in images is an approach by which we identify one or group of target objects in scene. It is very easy for a human to identify different objects in image but it’s difficult for a computer program to identify different objects. In target detection images are of different types such as visual, Aerial, IR, etc and they are under different categories (stationary target, moving target) and environments (atmospheric turbulences). It is difficult for a computer program to detect target in these restrictions. Till now so many researches are going on this approach. Some of those approaches are like using pattern recognition, wavelets, texture, connectivity component based approach, descriptors based methods and traditional thresholding methods so on. In developing a system, there are many difficulties like recognition accuracy, occupation of size (image) and execution time so on. These are the things that motivated me to solve some of those issues. My concentration is towards the approach that based on wavelet decomposition and wavelet coefficient features.
The approach of this project is to build a constructive approach for target detection in images that recognize the targets in different kinds of images. To make a system that can able to take images of any size, color or gray, and related to different environments. It should able to detect targets of any size and in any environment. Target detection in images can be done using several approaches; a simplified model. Wavelet transform is chosen as it is one of the novel techniques for solving target detection problem.
PROJECT OUTPUT
PROJECT VIDEO
Contact:
Mobile: +91-7276355704
WhatsApp: +91-7276355704
Email: roshanphelonde@rediffmail.com
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