ROBUST MULTIMODAL IMAGE MATCHING BASED ON MAIN STRUCTURE FEATURE REPRESENTATION
نویسندگان
چکیده
منابع مشابه
Exact order based feature descriptor for illumination robust image matching
We present a novel method for a feature descriptor called an exact order based descriptor (EOD). The proposed method consists of three steps. First, to resolve ordering ambiguity for pixels of the same intensity, an exact order image is created by changing the discrete intensity into a k-dimensional continuous value. Second, exact order based features are generated globally and locally. Finally...
متن کاملMultimodal medical image fusion based on Yager’s intuitionistic fuzzy sets
The objective of image fusion for medical images is to combine multiple images obtained from various sources into a single image suitable for better diagnosis. Most of the state-of-the-art image fusing technique is based on nonfuzzy sets, and the fused image so obtained lags with complementary information. Intuitionistic fuzzy sets (IFS) are determined to be more suitable for civilian, and medi...
متن کاملMultimodal Retinal Image Registration method Based on Speed-up Robust Feature
Retinal fundus image plays an important role in the diagnosis of eye diseases. In order to have a comprehensive understanding of retinal image, doctors need to take pictures from different angles of the patient's eyes. Because of the movement of the eye and head of the patient, there are some differences between the corresponding physiological structures. So it is necessary to carry out registr...
متن کاملRobust Low-altitude Image Matching Based on Local Region Constraint and Feature Similarity Confidence
Improving the matching reliability of low-altitude images is one of the most challenging issues in recent years, particularly for images with large viewpoint variation. In this study, an approach for low-altitude remote sensing image matching that is robust to the geometric transformation caused by viewpoint change is proposed. First, multiresolution local regions are extracted from the images ...
متن کاملMultifocus Image Fusion Using Sparse Representation by Adaptive Feature Matching
Optical imaging cameras suffer from the problem of limited depth-of-field of optical lenses, so it is difficult to get an image with all objects in focus. One way to overcome this problem is by using multi-focus image fusion technique, in which several images with different focus points are combined to form a single image with all objects fully focused. So, it is crucial to effectively extract ...
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: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
سال: 2020
ISSN: 2194-9034
DOI: 10.5194/isprs-archives-xliii-b3-2020-583-2020