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Aryuanto Soetedjo and Evy Hendriarianti
A camera vision system is a fast and effective approach to monitoring leaves. It can be used to monitor plant growth, detect diseases, and conduct plant phenotyping. However, due to the outdoor environment of plants, it becomes challenging to use. This p...
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Walaa Ali H. Jumiawi and Ali El-Zaart
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Naledzani Ndou, Kgabo Humphrey Thamaga, Yonela Mndela and Adolph Nyamugama
Crop characterization is considered a prerequisite to devising effective strategies for ensuring successful implementation of sustainable agricultural management strategies. As such, remote-sensing technology has opened an exciting horizon for crop chara...
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Donggeun Kim and Younghwan Son
Thresholding is a digital image analysis method used to distinguish objects from the background in images and it is mainly used for void and density analysis in soil. It is important to select an appropriate thresholding method because the accuracy of vo...
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Muflah Nasir, Muhammad Shahid Farid, Zobia Suhail and Muhammad Hassan Khan
Lung cancer is the world?s second-largest cause of cancer mortality. Patients? lives can be saved if this malignancy is detected early. Doctors, however, encounter difficulties in detecting cancer in computed tomography (CT) images. In recent years, sign...
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Junbin Zang, Juliang Wang, Zhidong Zhang, Yongqiu Zheng and Chenyang Xue
Cardiovascular disease and its consequences on human health have never stopped and even show a trend of appearing in increasingly younger generations. The establishment of an excellent deep learning algorithm model to assist physicians in identifying and...
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Qianqian Tong, Guannan Liang, Jiahao Ding, Tan Zhu, Miao Pan and Jinbo Bi
Regularized sparse learning with the l0
l
0
-norm is important in many areas, including statistical learning and signal processing. Iterative hard thresholding (IHT) methods are the state-of-the-art for nonconvex-constrained sparse learning due to their ...
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Antonella Falini
The Earth?s observation programs, through the acquisition of remotely sensed hyperspectral images, aim at detecting and monitoring any relevant surface change due to natural or anthropogenic causes. The proposed algorithm, given as input a pair of hypers...
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Siti-Aisyah Zali, Shahbe Mat-Desa, Zarina Che-Embi and Wan-Noorshahida Mohd-Isa
Shadows in drone images commonly appear in various shapes, sizes, and brightness levels, as the images capture a wide view of scenery under many conditions, such as varied flying height and weather. This property of drone images leads to a major problem ...
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Nova Resfita, Rahmadi Kurnia, Fitrilina Fitrilina
Pág. 121 - 125
The development of computer vision has expanded widely as there is a vast number of its applications in various aspects of daily life. One of its implementations is integrating the image processing technique on a prototype coffee machine based on the spe...
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Nova Resfita, Rahmadi Kurnia, Fitrilina Fitrilina
Pág. 121 - 125
The development of computer vision has expanded widely as there is a vast number of its applications in various aspects of daily life. One of its implementations is integrating the image processing technique on a prototype coffee machine based on the spe...
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Ling Du, Zehong He, Yijing Wang, Xiaochao Wang and Anthony T. S. Ho
Image hashing-based authentication methods have been widely studied with continuous advancements owing to the speed and memory efficiency. However, reference hash generation and threshold setting, which are used for similarity measures between original i...
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Manikanta Prahlad Manda and Hi Seok Kim
Image thresholding is one of the fastest and most effective methods of detecting objects in infrared images. This paper proposes an infrared image thresholding method based on the functional approximation of the histogram. The one-dimensional histogram o...
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Yufang Min and Yaonan Zhang
We propose a fast document image thresholding method (FADIT) and evaluations of the two classic methods for demonstrating the effectiveness of FADIT. We put forward two assumptions: (1) the probability of the occurrence of grayscale text and background i...
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Xiang Li, Linlu Dong, Biao Li, Yifan Lei and Nuwen Xu
Microseismic signal denoising is of great significance for P wave, S wave first arrival picking, source localization, and focal mechanism inversion. Therefore, an Empirical Mode Decomposition (EMD), Compressed Sensing (CS), and Soft-thresholding (ST) com...
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Muhammad Ali Raza, Chun Qi, Muhammad Rizwan Asif and Muhammad Armoghan Khan
We present an adaptive framework for the recognition of multinational vehicles license plates. To make it generalized, this research does not require any prior knowledge of license plate layout and, furthermore, training data is not used from all of the ...
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Ladislav Karrach, Elena Pivarciová and Pavol Bozek
Mobile robot navigation, automatic object identification and tracking.
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Meletios Liaskos, Michalis A. Savelonas, Pantelis A. Asvestas, Marios G. Lykissas and George K. Matsopoulos
Intervertebral disc (IVD) localization and segmentation have triggered intensive research efforts in the medical image analysis community, since IVD abnormalities are strong indicators of various spinal cord-related pathologies. Despite the intensive res...
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Jairo Eduardo Márquez Díaz
This article shows the results about the development of a digital image processing system for the analysis of non-melanoma cancer and actinic keratosis, whose design starts from the implementation of morphological and filtering algorithms, among others, ...
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Yanfeng Zhang, Yunbao Huang, Haiyan Li, Pu Li and Xi?an Fan
We propose a new iterative greedy algorithm to reconstruct sparse signals in Compressed Sensing. The algorithm, called Conjugate Gradient Hard Thresholding Pursuit (CGHTP), is a simple combination of Hard Thresholding Pursuit (HTP) and Conjugate Gradient...
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