Journal ArticleDOI
Analysis of top-hat selection transformation and some modified top-hat transformations
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TLDR
Top-hat selection transformation is useful for the research and application of top-hat transformation, and it is shown that some other top-Hat transformations may be derived from top- Hat selection transformation.About:
This article is published in Optik.The article was published on 2012-05-01. It has received 13 citations till now. The article focuses on the topics: Transformation (music) & Selection (genetic algorithm).read more
Citations
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Journal ArticleDOI
Image fusion through local feature extraction by using multi-scale top-hat by reconstruction operators
TL;DR: An image fusion algorithm based on the extracted local image features by using multi-scale top-hat by reconstruction operators is proposed in this paper, which performs well for image fusion.
Journal ArticleDOI
A unified form of multi-scale top-hat transform based algorithms for image processing
Xiangzhi Bai,Fugen Zhou +1 more
TL;DR: A unified form of multi-scale top-hat transform based algorithms is given through reviewing and analyzing the existed multi- scale top- Hat transform based algorithm based algorithms to verify the unified form and provide the way of how to determine the key functions of the unifiedform for different applications.
Journal ArticleDOI
Measure of image clarity using image features extracted by the multiscale top-hat transform
Xiangzhi Bai,Yan Li,Fugen Zhou +2 more
TL;DR: Comparison experiments and application to image clarity enhancement of mineral images show that the proposed measure is effective for measuring image clarity and has good discrimination ability compared with some other measures.
Journal ArticleDOI
Morphological center operator for enhancing small target obtained by infrared imaging sensor
TL;DR: Experimental results show that, the proposed morphological center operator based method performs well for enhancing infrared small target and the performance is better than some other methods.
Journal ArticleDOI
Finding splitting lines for touching cell nuclei with a shortest path algorithm
TL;DR: A shortest path-based algorithm is proposed in this paper to find splitting lines for touching cell nuclei and is effective for segmentation of different types of touching celluclei.
References
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Book
Image Analysis and Mathematical Morphology
TL;DR: This invaluable reference helps readers assess and simplify problems and their essential requirements and complexities, giving them all the necessary data and methodology to master current theoretical developments and applications, as well as create new ones.
Journal ArticleDOI
Morphological grayscale reconstruction in image analysis: applications and efficient algorithms
TL;DR: An algorithm that is based on the notion of regional maxima and makes use of breadth-first image scannings implemented using a queue of pixels results in a hybrid gray-scale reconstruction algorithm which is an order of magnitude faster than any previously known algorithm.
Journal ArticleDOI
Automatic detection of diabetic retinopathy exudates from non-dilated retinal images using mathematical morphology methods
TL;DR: This paper investigates and proposes a set of optimally adjusted morphological operators to be used for exudate detection on diabetic retinopathy patients' non-dilated pupil and low-contrast images and results are successful.
Journal ArticleDOI
The design of Top-Hat morphological filter and application to infrared target detection
Ming Zeng,Jianxun Li,Zhang Peng +2 more
TL;DR: Two novel methods which can develop optimizing Top-Hat morphological filtering parameters are presented for spot target detection, one based on neural network and the other based on genetic algorithm.
Journal ArticleDOI
Detecting and tracking dim moving point target in IR image sequence
Fei Zhang,Chengfang Li,Lina Shi +2 more
TL;DR: A novel algorithm is presented that can successfully detect dim moving point target and accurately estimate its trajectory in IR image sequence with low SNR and is adaptable to real-time target detection and tracking.