Content Based Medical Image Retrieval using Local co-occurrence patterns

被引：0

作者：

Rao, L. Koteswara ^{[1
]}

Rao, D. Venkata ^{[2
]}

Reddy, L. Pratap ^{[3
]}

机构：

[1] IFHE, FST, Hyderabad, Andhra Pradesh, India

[2] Narasaraopet Inst Technol, Narasaraopet, India

[3] JNTUHCEH, ECE, Hyderabad, Andhra Pradesh, India

来源：

PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON APPLIED AND THEORETICAL COMPUTING AND COMMUNICATION TECHNOLOGY (ICATCCT) | 2015年

关键词：

local Binary Pattern (LBP); local derivative patterns (LDP); local cooccurrencepatterns (LCoP); Image indexing; Gabor Transform (GT); CHEST CT IMAGES; BINARY PATTERNS; CLASSIFICATION; SYSTEMS;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

To index and retrieve the images from a medical image dataset, an algorithm is proposed in this paper which is framed using local Co-occurrence Patterns (LCoP),In the existing LDP is rotation variant and captures the information only in a particular direction. The proposed LCoP codes the occurrence among the 1-order differentiators in all possible directions and is a rotational invariant method. The impact of the algorithm is further made clear by integrating the same with Gabor transform. All results of experiments on OASIS MRI shown a considerable improvement in terms of the performance metrics when compared to LBP, LTP, LDP even after taking the Gabor function

引用

页码：743 / 748

页数：6

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