منابع مشابه
Image retrieval based on multi-texton histogram
This paper presents a novel image feature representation method, called multi-texton histogram (MTH), for image retrieval. MTH integrates the advantages of co-occurrence matrix and histogram by representing the attribute of co-occurrence matrix using histogram. It can be considered as a generalized visual attribute descriptor but without any image segmentation or model training. The proposed MT...
متن کاملTexture Analysis using Rough Texton
The present paper derived a new texture classification tactic using textons and rough sets. Texton is a statistical approach used to analyze the texture of an image. Textures will be developed only if the side elements lie within the contiguity. Texton Image has the discrimination power of color, texture and shape features. In the proposed tactic texton using rough texture spectrum and color fe...
متن کاملImage Retrieval Using Multi Texton Co-occurrence Descriptor
Image retrieval system is one of a challenging topic and is not yet finalized. A number of features extraction methods has been proposed, for example Gray Level CoOccurrence Matrix (GLCM), Texton Co-Occurrence Histogram (TCM), Multi Texton Histogram (MTH), Micro Stucture Descriptor (MSD), Enhanced Micro Structure Descriptor (EMSD) and Color difference Histogram (CDH). However, the precision rat...
متن کاملImage Retrieval Using Multi Texton Co - Occurrence Descriptor
One of many method for image retrieval is Multi Texton Histogram (MTH) that incorporated feature extraction technique. Though the MTH is able to represent the image very well, it’s still has weaknesses. First, the MTH is only using local features to represent image. Second, in the process of pixel pair detection using texton, there is information missing that caused image representation may deg...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2015
ISSN: 0975-8887
DOI: 10.5120/ijca2015907663