A two-step algorithm and its parallelization for the generation of minimum containing rectangles for document image segmentation

Sural, Shamik; Das, Pratyusha

doi:10.1109/icdar.1999.791752

Cited by 4 publications

(1 citation statement)

References 5 publications

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“…Some assumed these blocks to be only rectangular. 35 The top-down/block-based methods are not suitable for skewed texts as these methods are restricted only to rectangular blocks. Whereas the bottom-up methods are typically variants of the connected components, 36 which iteratively group together components of the same type.…”

Section: Previous Workmentioning

confidence: 99%

M-Band Wavelets: Application to Texture Segmentation for Real Life Image Analysis

Kundu

Acharyya

2003

Int. J. Wavelets Multiresolut Inf. Process.

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This paper describes two examples of real-life applications of texture segmentation using M-band wavelets. In the first part of the paper, an efficient and computationally fast method for segmenting text and graphics part of a document image based on textural cues is presented. It is logical to assume that the graphics part has different textural properties than the non-graphics (text) part. So, this is basically a two-class texture segmentation problem. The second part of the paper describes a segmentation scheme for another real-life data such as remotely sensed image. Different quasi-homogeneous regions in the image can be treated to have different texture properties. Based on this assumption the multi-class texture segmentation scheme is applied for this purpose.

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Section: Previous Workmentioning

confidence: 99%