Colour Image Segmentation using Texems
نویسندگان
چکیده
We present two methods to perform colour image segmentation using a generative threedimensional model that is based on the assumption that an image can be generated through an overlapped placement of a few primitive, exemplar image patches, i.e. texems. Multiscale analysis is used in order to capture sufficient image features and pixel neighbourhood interactions at relatively lower computational costs. Experimental results on synthetic and real images are presented to demonstrate this as a promising alternative approach to popular discriminative methods.
منابع مشابه
Unsupervised Image Segmentation based on Texems for Hyperspectral data
There is no doubt about how useful and valuable the information provided by the hyperspectral sensors can be. Image segmentation procedures can take advantage of this information to increase the ability for separating different textures in an image. A multiscale approach for segmenting hyperspectral images is presented in this work. The method is based on the recently proposed texem model which...
متن کاملSegmentation of Colour Data Base Image by Implementing K-Means Clustering
Abstract:In image analysis techniques, image segmentation takes a major role for analyzing any type of image. The Kmeans clustering algorithm is one of the widely used algorithm in image segmentation system. This paper proposes the colour data base image segmentation using the L*a*b* colour space and K-means clustering. This work presents a data base image segmentation based on colour features ...
متن کاملColour Texture Analysis
This chapter presents a novel and generic framework for image segmentation using a compound image descriptor that encompasses both colour and texture information in an adaptive fashion. The developed image segmentation method extracts the texture information using low-level image descriptors (such as the Local Binary Patterns (LBP)) and colour information by using colour space partitioning. The...
متن کاملColour Based Image Segmentation Using L*A*B* Colour Space Based On Genetic Algorithm
In colour based image segmentation is made to overcome the problems encountered while segmenting an object in a complex scene background by using the colour of the image. After pre-processing, the image is transformed from the RGB colour space to L*a*b* space. Then, the three channels of L*a*b* colour space are separated and a single channel is selected depending upon the colour under considera...
متن کاملColour Image Segmentation using A-IFSs
The problem of segmentation is an important research field and often a critical and decisive preprocessing step for many image processing applications. During the past years, the use of colour images instead of gray images is growing fast in many research areas. Moreover, the use of segmentation over colour images is advised when additional colour information conveyed is necessary to further di...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2007