Object Segmentation and Classification using Multiple Shape Models from an image sequence
نویسندگان
چکیده
A method of segmenting, classifying the multiple shapes from an image sequence is presented. This paper presents the segmentation framework that allows multiple shapes to be segmented simultaneously in a seamless fashion. Shape models (SMs), contains features of a set of training shapes, represent a new object present in the image. It is based on clustering a set of training shapes in the original shape space (defined by the coordinates of the contour
منابع مشابه
Object-Oriented Method for Automatic Extraction of Road from High Resolution Satellite Images
As the information carried in a high spatial resolution image is not represented by single pixels but by meaningful image objects, which include the association of multiple pixels and their mutual relations, the object based method has become one of the most commonly used strategies for the processing of high resolution imagery. This processing comprises two fundamental and critical steps towar...
متن کاملSegmentation Assisted Object Distinction for Direct Volume Rendering
Ray Casting is a direct volume rendering technique for visualizing 3D arrays of sampled data. It has vital applications in medical and biological imaging. Nevertheless, it is inherently open to cluttered classification results. It suffers from overlapping transfer function values and lacks a sufficiently powerful voxel parsing mechanism for object distinction. In this work, we are proposing an ...
متن کاملObject-Based Classification of UltraCamD Imagery for Identification of Tree Species in the Mixed Planted Forest
This study is a contribution to assess the high resolution digital aerial imagery for semi-automatic analysis of tree species identification. To maximize the benefit of such data, the object-based classification was conducted in a mixed forest plantation. Two subsets of an UltraCam D image were geometrically corrected using aero-triangulation method. Some appropriate transformations were perfor...
متن کاملمدلسازی تاثیرات پسروی دریاچه ارومیه بر روستاهای ساحل شرقی دریاچه ارومیه با پردازش شیءگرای تصاویر ماهواره‌ای
Urmia Lake is one of the largest hyper saline lakes in the world and largest inland lake in Iran which located in the north west of Iran, between the provinces of East Azerbaijan and West Azerbaijan. The lake basin is one of the most influential and valuable aquatic ecosystems in the country and registered as UNESCO Biosphere Reserve. In addition, it is very important in terms of water resource...
متن کاملکاهش رنگ تصاویر با شبکه‌های عصبی خودسامانده چندمرحله‌ای و ویژگی‌های افزونه
Reducing the number of colors in an image while preserving its quality, is of importance in many applications such as image analysis and compression. It also decreases memory and transmission bandwidth requirements. Moreover, classification of image colors is applicable in image segmentation and object detection and separation, as well as producing pseudo-color images. In this paper, the Kohene...
متن کامل