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An Improved System and Method of Segmentation for document and Images in a Content Management System

IP.com Disclosure Number: IPCOM000219519D
Publication Date: 2012-Jul-05
Document File: 9 page(s) / 251K

Publishing Venue

The IP.com Prior Art Database

Abstract

Image segmentation principles can be extended for information processing from any unstructured content residing in the content management system. On this principle, disclosed is a technique and method to utilize Image segmentation procedures on digital images (Documents/Images) in order to impart more meaning to different segments of the content by correlating them through identifying similar characteristics and enable their existence and usage even without the complete original document context Purpose served: 1.Implementing segmentation techniques like region based detection, threshold and clustering in documents and images residing within content Management System to impart extra meaning/information to the content within a document. 2.Responsibly retrieve Image statistics internally or externally by Spawning Workflow on the identified zones. 3.Further achieving life cycle management on any given image. 4.Efficient segregation of information in document, as per user requirements. 5.Security compliance by hiding the document context with every user

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An Improved System and Method of Segmentation for document and Images in a Content Management System

An improved system and method for segmentation of Documents/Images residing in a content management system to manage the information within the Segmented Images/Zones and route them separately in work flows. After processing, the various segments are reconstructed back to form a consolidated document. (Refer Figure2: Process flow for Image segmentation in Scanned documents ).

In use, the technique allows the full/part of the image passing through the stages below, to be inferred for the various initiatives of the image evolution:


1. Image Zoning


2. Zones Management


3. Image Splitting


4. Work flow Processing


5. Image Reconstruction


1. Image Zoning (Refer Figure3: Image Zoning Process)

    Image Zoning outlines the various zones in an image. This utilizes the image segmentation technique of region based zoning to identify different regions in a document/image. The regions with similar characteristics are clustered together into zones through image clustering techniques. In this manner similar information spanning over different regions are clubbed together into a same zone. Once the zones are defined a property or index file is populated. The Zones have this property file attached to it wherein the end user can key in some of the information.


2. Zone Management (Refer Figure1: Zone Management Process)

    All the zones created in the Image Zoning process are associated with an index/Property files and have defined specific characteristics. Database tables correlate these index and property information and also define a tracking field which maintains the information about the various zones, its status, location etc. This information is useful for recreating the document again after its work flow processing

3. Image Segmentation (ReferFigure4: Image Splitting Process )

Using Segmentation process to split the image into various sub-images based on the user requirement and collate the information lying in

various locations in a document into zones and creating Individual sub images based on the zones. These follows the Split and Merge techniques based on the zone partition method of an image and create individual sub images from each zone defined.

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Here the administrator/user can decide which sub image should follow which work flow processing. It can be a combination of processes as well, or even some images could be kept out of processing. In this way a great flexibility is given by slice and dice of information, to have greater control and analytics synthesis.


4. Work flow Processing(Refer Figure5: Separate processing through various workflow)

This process, routes the different sub images into different steps in a work flow.

After the Image segmentation process, each sub image is utilized to act as trigger to spawn various instances of the work flow for the same document with different sub images processed in different instance...