As we know the computers are widely used in every field either it is of geography, medical, pharmacy, astrology. Astronomy and so on. The ongoing advancements in all these fields require a big database and the place from where this data is retrieved easily to use. The data is some time is in hierarchal format. But the array of memory that we use to save information is in only in 2-D, we have trees for such information in data structure. Q- Tree or Quad tree one of the ways of representing data in the memory. The problem is of representing data in this tree so that one can do searching, insertion and deletion in a fastest manner. With the increase in traversing and searching the performance of the computer too increases. DOI: 10.17762/ijritc...
Region quadtrees are convenient tools for hierarchical image analysis. Like the related Haar wavelet...
Spatial data representation and compression has become a focus issue in computer graphics and image...
Real-world point sets tend to be clustered, so using a machine word for each point is wasteful. In t...
Abstract- As we know the computers are widely used in every field either it is of geography, medical...
Quadtrees are well known data structures for handling images and image-like objects. They encode an ...
Abstract. Quadtrees and octrees are used extensively throughout computer graphics and in many other ...
The quad tree is a data structure appropriate for storing information to be retrieved on composite k...
We introduce the quad-kd tree: a general purpose and hierarchical data structure for the storage of ...
The issue of constructing a computer-searchable image encoding algorithm for complex images and the ...
Development of quadtree as hierarchical data structuring technique for representing spatial data (li...
Image representation plays an important role in image processing applications, which usually. contai...
There are numerous hierarchical data structuring techniques in use for representing spatial data. On...
This paper describes how we maintain color and spatial index information on more than 1,000,000 imag...
In this thesis, a new multidimensional data structure, the q-kd tree, for storing points lying in a ...
This article gives an overview of different approaches proposed for the storage and manipulation of ...
Region quadtrees are convenient tools for hierarchical image analysis. Like the related Haar wavelet...
Spatial data representation and compression has become a focus issue in computer graphics and image...
Real-world point sets tend to be clustered, so using a machine word for each point is wasteful. In t...
Abstract- As we know the computers are widely used in every field either it is of geography, medical...
Quadtrees are well known data structures for handling images and image-like objects. They encode an ...
Abstract. Quadtrees and octrees are used extensively throughout computer graphics and in many other ...
The quad tree is a data structure appropriate for storing information to be retrieved on composite k...
We introduce the quad-kd tree: a general purpose and hierarchical data structure for the storage of ...
The issue of constructing a computer-searchable image encoding algorithm for complex images and the ...
Development of quadtree as hierarchical data structuring technique for representing spatial data (li...
Image representation plays an important role in image processing applications, which usually. contai...
There are numerous hierarchical data structuring techniques in use for representing spatial data. On...
This paper describes how we maintain color and spatial index information on more than 1,000,000 imag...
In this thesis, a new multidimensional data structure, the q-kd tree, for storing points lying in a ...
This article gives an overview of different approaches proposed for the storage and manipulation of ...
Region quadtrees are convenient tools for hierarchical image analysis. Like the related Haar wavelet...
Spatial data representation and compression has become a focus issue in computer graphics and image...
Real-world point sets tend to be clustered, so using a machine word for each point is wasteful. In t...