Title :
A new improved flexible segmentation algorithm using local cosine transform
Author :
Enqing, Dong ; Guizhong, Liu ; Yatong, Zhou
Author_Institution :
Sch. of Electron. & Inf. Eng., Xi´´an Jiaotong Univ., China
Abstract :
To the problem of no overall optimal merger for one-way merger in the segmentation algorithm proposed by Wang et al., (1999), we propose a method of overall optimal search and merger. At the same time, for the problem of merging a segment which has non-value (value-segment) and a segment whose values are zeros entirely (zeros-segment) to a large segment in Wang´s method, we also propose a corresponding method to solve the problem. The main techniques use the local cosine transform (LCT) algorithm for a single small segment, rather than folding processing using its original neighboring data, instead of making zero extension, and then fold the each zero-extension segment. A great deal of numerical simulations validate that this new improved technique solves several problems of the binary-based segment algorithm and Wang´s segment algorithm; it not only obtains adapted effective segmentation results, but also there are not many redundancy segmentations
Keywords :
image segmentation; numerical analysis; redundancy; search problems; transforms; flexible segmentation algorithm; local cosine transform; numerical simulations; one-way merger; optimal search; redundancy; value segment; zeros segment; Corporate acquisitions; Discrete cosine transforms; Discrete transforms; Entropy; Libraries; Merging; Numerical simulation; Partitioning algorithms; Speech;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
Conference_Location :
Salt Lake City, UT
Print_ISBN :
0-7803-7041-4
DOI :
10.1109/ICASSP.2001.940613