期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2017
卷号：47
期号：2
页码：95-100
DOI：10.14445/22312803/IJCTT-V47P113
出版社：Seventh Sense Research Group
摘要：Semantic segmentation and object detection are two most common tasks in the field of digital image processing, classification and segmentation. The object detection in repetition domain will be approached to segment objects from foreground with absence of background noise. This work has introduced one automatically detecting an object to increase the accuracy and yield and decrease the diagnosis time. This proposed method represents image Segmentation and Object Detection using NN classifier. The first step for input image segmentation and feature extracted from segmented image using NN classifier. The goal of Classification is to find Object from input ones. At the end it is shown the object detected image. The best results can be achieved by this proposed image segmentation and classification image.
