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
收藏
页码：743 / 748
页数：6
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