TEXTURE SEGMENTATION METHODS BASED ON COMBINATORIAL OF MORPHOLOGICAL AND STATISTICAL OPERATIONS

 

TEXTURE SEGMENTATION METHODS BASED ON COMBINATORIAL OF MORPHOLOGICAL AND STATISTICAL OPERATIONS

OBJECTIVE

  

   Objective of the project is to segment ditgitial image to mark deterministic region using texure segmentation.

SCOPE OF THE PROJECT

lThrough image segmentation we can   separate unwanted objects from an image.

 

lExtraction of various parts of a tree.

 

lSeparation of different animals present in an image.

INTRODUCTION

lTextural Segmentation

 

   Identifying separate regions of an image with similar colour but different texture attribute.

ANALYSIS OF PRESENT TECHNIQUE

 

   Image can be segmented with different mechanism like colour, texture, shape etc

ANALYSIS OF PROPOSED SYSTEM

  

   We aimed that identifying separate regions of an image with similar colour but different texture attributes

HARDWARE & SOFTWARE REQUIREMENT

 

Hardware:

lDigital Camera

lData Card

 

SOFTWARE

lMATLAB Image Processing Tool Box

SYSTEM DESIGN

CONCLUSION

   In the present paper the segmentation scheme is progressively constructed by a set of simple and powerful morphological and statistical operations. The proposed study thoroughly investigated the effect of coefficient values a, b and g on the proposed segmentation method.