Conference Paper

Improved Quadtree Method for Split Merge Image Segmentation

M.I.T., Ujjain
DOI: 10.1109/ICETET.2008.145 Conference: Emerging Trends in Engineering and Technology, 2008. ICETET '08. First International Conference on
Source: IEEE Xplore


Image segmentation is one of the important steps in Image processing. This paper introduces an improved quadtree method (IQM) for split-merge called as neighbour naming based image segmentation method (NNBISM) in Kelkar, D. and Grupta, S., (2008), where top-down and bottom-up approaches of region based segmentation techniques are chained. IQM mainly composed of splitting image, onitializing neighbour list and then merging splitted regions. First step uses quadtree for representing splitted Image. In second step neighbour list of every quadtree node, is populated using neighbour naming method (NNM). NNM works at region level, and leads to fast initialisation of adjacency information thus improving the performance of IQM for split merge image segmentation. This populated list is basis for third step which is decomposed in two phases, in-house merge and ginal merge. This decomposing reduces problems involved in handling lengthy neighbour list during merging process .

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    • "Region splitting and merging techniques [13] [14] [15] starts with splitting an image into small regions and continued till regions with required degree of homogeneity are formed. "
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    • "Graph based segmentation merges neighboring regions if the minimum length of links between them is less than the maximum length of links supporting the two regions, and it needs to compute all the links between neighboring pixels. The quad tree method uses complicated neighbor naming algorithms and it traverses the tree based on the initial 4 possible major neighbors to retrieve all neighbors that may constitutes the initial 4 neighbors (Kelkar and Gupta 2008). When implementing combined methods for image segmentation, the conversion from the output of initial process to the input of the following region merging process elicits overhead. "
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