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Journal articles on the topic 'Image separation'

Author: Grafiati

Published: 3 June 2025

Last updated: 1 August 2025

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1

Duveneck, Eric. "Up/down separation of seismic depth images." GEOPHYSICS 83, no. 5 (2018): S375—S385. http://dx.doi.org/10.1190/geo2017-0754.1.

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Reverse time migration (RTM) is normally based on wavefield modeling that allows wave propagation in all spatial directions. While this is one of the strengths of RTM, it can also lead to undesired effects, including partial image amplitude cancellation for reflectors that are illuminated and imaged from two sides, as well as the appearance of ghost-reflection artifacts if the modeled source- and receiver-side wavefields are both scattered back from a hard model contrast. Both issues can be addressed by separating the seismic depth image into components imaged from above and components imaged

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Wajid, Mohd, and Mayank Sharma. "Digital Image Separation Algorithm Based on Joint PDF of Mixed Images." Image Processing & Communications 20, no. 1 (2015): 5–12. http://dx.doi.org/10.1515/ipc-2015-0025.

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Abstract In this article, we have presented an algorithm for separating the mixed or fused images. We have considered that the two independent histogram equalized digital images are linearly mixed, and the joint probability density function (PDF) or the scatter plot of the two observed or mixed images is used for separation. The objective and subjective separation results are presented, and observed to be better than the other existing techniques in terms of Peak signal-to-noise ratio (PSNR) and Signal-to-interference ratio (SIR).

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Chen, Cun, and Hui Peng. "Dynamic mode decomposition for blindly separating mixed signals and decrypting encrypted images." Big Data and Information Analytics 8 (2024): 1–25. http://dx.doi.org/10.3934/bdia.2024001.

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In this paper, we introduce the dynamic mode decomposition considering a lag $ \tau $ ($ \tau $-DMD) for solving the blind source separation (BSS) problem of chaotic signals and images. $ \tau $-DMD can be used in BSS-based image decryption with good separation performance. The unmixing problem was formulated as a modal decomposition problem. $ \tau $-DMD was applied on separating linear mixed chaotic signals showing a better separation performance than the existing blind source separation algorithms (Amuse, SOBI, FastICA and JADE). In addition, the case of adding noise in the mixing process w

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Khalfa, A., M. Sahed, E. Kenane, and N. Amardjia. "A Novel Blind Image Source Separation Using Hybrid Firefly Particle Swarm Optimization Algorithm." Engineering, Technology & Applied Science Research 12, no. 6 (2022): 9680–86. http://dx.doi.org/10.48084/etasr.5255.

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Signal and image separation are extensively used in numerous imaging applications and communication systems. In this paper, a novel Blind Source Separation (BSS) approach, based on the Hybrid Firefly Particle Swarm Optimization (HFPSO), is proposed for separating mixed images. This approach processes the observed source without any prior knowledge about the model and the statistics of the source signal. The proposed method presents high robustness against local minima and converges quickly to the global minimum. Via numerical simulations, the proposed approach is tested and validated in compar

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DYER, C. C. "Image Separation Statistics for Multiply Imaged Quasars." Annals of the New York Academy of Sciences 470, no. 1 Twelfth Texas (1986): 371. http://dx.doi.org/10.1111/j.1749-6632.1986.tb47996.x.

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Sharma, A., and J. K. Ghosh. "SALIENCY BASED SEGMENTATION OF SATELLITE IMAGES." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences II-3/W4 (March 11, 2015): 207–14. http://dx.doi.org/10.5194/isprsannals-ii-3-w4-207-2015.

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Saliency gives the way as humans see any image and saliency based segmentation can be eventually helpful in Psychovisual image interpretation. Keeping this in view few saliency models are used along with segmentation algorithm and only the salient segments from image have been extracted. The work is carried out for terrestrial images as well as for satellite images. The methodology used in this work extracts those segments from segmented image which are having higher or equal saliency value than a threshold value. Salient and non salient regions of image become foreground and background respec

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Benahmed, Aziz, Mohcin Mekhfioui, and Zouhair Guennoun. "FPGA based Hardware Co-Simulation Implementation for RealTime Image Blind Separation using ICA Algorithms." International Journal of Emerging Technology and Advanced Engineering 12, no. 10 (2022): 75–81. http://dx.doi.org/10.46338/ijetae1022_09.

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The use of mixed image sources requires digital preprocessing to separate them, for making easier their storage and improve their quality. The ICALAB for Image Processing method is one of the solutions proposed for the blind efficient separation of signals without prior knowledge of the source images. Nevertheless, to choose the appropriate algorithm with the most efficient separation index, several tests are carried out on a certain number of algorithms, with off-line processing of image samples bases, by means of software tools which are generally installed on a computer, such as ICALAB, TIP

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Mamatov, Narzillo, Malika Jalelova, Boymirzo Samijonov, and Abdurashid Samijonov. "Algorithm for extracting contours of agricultural crops images." ITM Web of Conferences 59 (2024): 03015. http://dx.doi.org/10.1051/itmconf/20245903015.

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Abstract. Currently, identification of crop diseases and their prevention is one of the main problems in the field of agriculture. Conventional visual inspection is a time and money consuming process for farms. Therefore, images taken by unmanned aerial devices or satellites are used to assess the condition of crops, control them and identify diseases. In particular, when identifying crop diseases, it is necessary to first solve the problem of automatic recognition of their type through the image of crops. Usually contour separation algorithms are widely used in the segmentation of objects in

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Beard, B. L., and A. J. Ahumada. "Relevant Image Features for Vernier Acuity." Perception 26, no. 1_suppl (1997): 86. http://dx.doi.org/10.1068/v970194.

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The extraction of relevant image features is a key part of discrimination learning (E Gibson, 1969 Principles of Perceptual Learning and Development) and the identification of those features is necessary for the understanding of observer performance. Two mechanisms are thought to limit Vernier acuity judgments: orientation-selective and local-sign mechanisms (Waugh and Levi, 1993 Vision Research33 539 – 552; Beard et al, 1997 Vision Research37 325 – 346). The linear component of relevant image features can be determined for a Vernier task by adding external noise to the image and then averagin

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Zhang, Jing, Shaobo Zhang, Hui Wang, Yunsong Li, and Ruitao Lu. "Image Compression Network Structure Based on Multiscale Region of Interest Attention Network." Remote Sensing 15, no. 2 (2023): 522. http://dx.doi.org/10.3390/rs15020522.

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In this study, we proposed a region of interest (ROI) compression algorithm under the deep learning self-encoder framework to improve the reconstruction performance of the image and reduce the distortion of the ROI. First, we adopted a remote sensing image cloud detection algorithm for detecting important targets in images, that is, separating the remote sensing background from important regions in remote sensing images and then determining the target regions because most traditional ROI-based image compression algorithms utilize the manual labeling of the ROI to achieve region separation in i

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V, Prof Archana. "Image Separation and Sharing Application." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem30168.

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A state-of-the-art project created as part of a program is the Image Separation and Sharing Application, which aims to transform the way A cutting-edge project developed as part of a program is the Image Separation and Sharing Application. The users interact with their image collections. Image separation and sharing Applications help users leverage facial recognition and machine learning techniques to build a smooth and effective image separation system. Key Words: image separation, image sharing, machine learning, user interface, Face net library, Face recognition

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Takeichi, Hirohito, and Katunobu Konishi. "1213 Separation of Shading Image and Reflectance Image." Proceedings of Conference of Chugoku-Shikoku Branch 2007.45 (2007): 471–72. http://dx.doi.org/10.1299/jsmecs.2007.45.471.

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Chen, Juhn Horng, Long Jye Sheu, Tzu Yi Tung, Hsien Keng Chen, Horng Shing Chiou, and Wei Tai Weng. "A Combination of Chaos and Blind Source Separation for Image Encryption." Applied Mechanics and Materials 373-375 (August 2013): 513–16. http://dx.doi.org/10.4028/www.scientific.net/amm.373-375.513.

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We propose a new perspective on image encryption using chaotic signal and blind source separation. The original image is permuted by the chaotic signal and then mixed with key images. In the receiver, blind source separation technique is used to separate the components of the original image from the ciphertexts. Then chaotic signal is again used to restore the pixels to recover the original image. The experimental results demonstrate that the key space is large enough to resist the brute force attack and the distribution of gray values of the encrypted image has a random-like behavior.

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Kun Gai, Zhenwei Shi, and Changshui Zhang. "Blind Separation of Superimposed Moving Images Using Image Statistics." IEEE Transactions on Pattern Analysis and Machine Intelligence 34, no. 1 (2012): 19–32. http://dx.doi.org/10.1109/tpami.2011.87.

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Yu, Jiayin, Chao Li, Xiaomeng Song, Shiyu Guo, and Erfu Wang. "Parallel Mixed Image Encryption and Extraction Algorithm Based on Compressed Sensing." Entropy 23, no. 3 (2021): 278. http://dx.doi.org/10.3390/e23030278.

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In the actual image processing process, we often encounter mixed images that contain multiple valid messages. Such images not only need to be transmitted safely, but also need to be able to achieve effective separation at the receiving end. This paper designs a secure and efficient encryption and separation algorithm based on this kind of mixed image. Since chaotic system has the characteristics of initial sensitivity and pseudo-randomness, a chaos matrix is introduced into the compressed sensing framework. By using sequence signal to adjust the chaotic system, the key space can be greatly exp

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Foo, Gillian, Jhoon Yong Tan, Edmund Yuen, et al. "Demonstrating Gravitational Lensing Using Solar Eclipses." Physics Educator 03, no. 03 (2021): 2150009. http://dx.doi.org/10.1142/s2661339521500098.

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As encouraged by the interesting paper “Solar eclipses as a teaching opportunity in relativity” by Overduin et al.,awe made measurements of the angular deflections of neighboring stars during the 9 March 2016 total solar eclipse as imaged by National University of Singapore (NUS) students, to verify a result of general relativity. In this project, we used these images and measured the stars’ pixel positions and transformed them to equatorial coordinates using a similar approach to Overduin et al., with a few modifications. Instead of solving to determine the pixel scale and rotation, we perfor

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Costagli, Mauro, and Ercan Engin Kuruoğlu. "Image separation using particle filters." Digital Signal Processing 17, no. 5 (2007): 935–46. http://dx.doi.org/10.1016/j.dsp.2007.04.003.

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Manek, Patricia Gertrudis, Budiman Baso, Kristoforus Fallo, Risald Risald, and Hevi Herlina Ullu. "Segmentasi Daun Cendana Berbasis Citra Menggunakan Otsu Thresholding." Journal of Information and Technology 3, no. 1 (2023): 6–10. http://dx.doi.org/10.32938/jitu.v3i1.3868.

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The segmentation process is the separation of parts of the object area from the background in an image, so that segmented objects can be processed for other purposes such as pattern recognition. The results of segmentation must be accurate, if it is not accurate in separating objects in the image it will affect the results of further processing. The segmentation process is carried out using the Otsu Thresholding method on sandalwood leaf images by first applying the Median filter to reduce noise. After obtaining the segmented image, then performing performance measurements. The segmentation re

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Kimori, Yoshitaka. "RMPJ: An ImageJ plugin for morphological information processing in biomedical images." PLOS Computational Biology 21, no. 4 (2025): e1012992. https://doi.org/10.1371/journal.pcbi.1012992.

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RMPJ is an image-processing tool that facilitates the effective enhancement of low-contrast analysis objects and enables preprocessing to quantify the morphological features of the objects under analysis. This ImageJ plugin implements seven image-processing algorithms based on rotational morphological processing (RMP), a variation of traditional morphological operations. RMPJ enables the enhancement and extraction of intricate and nuanced features in biomedical images. Furthermore, it facilitates the separation and extraction of multiple aggregated structures. This software aims to expand the

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KSANTINI, R., D. ZIOU, and F. DUBEAU. "IMAGE RETRIEVAL BASED ON REGION SEPARATION AND MULTIRESOLUTION ANALYSIS." International Journal of Wavelets, Multiresolution and Information Processing 04, no. 01 (2006): 147–75. http://dx.doi.org/10.1142/s0219691306001142.

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In this paper, a simple and fast querying method for content-based image retrieval is represented. Using the multispectral gradient, a color image is split into two disjoint parts that are the homogeneous color regions and the edge regions. The homogeneous regions are represented by the traditional color histograms, and the edge regions are represented by the multispectral gradient module mean histograms. In order to measure the similarity degree between two color images both quickly and effectively, we use a one-dimensional pseudo-metric, which makes use of the one-dimensional Daubechies deco

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Chen, Lei, Li Yi Zhang, and Yan Ju Guo. "Blind Image Separation Method Based on Artificial Bee Colony Algorithm." Advanced Materials Research 468-471 (February 2012): 583–86. http://dx.doi.org/10.4028/www.scientific.net/amr.468-471.583.

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A novel blind image separation algorithm based on artificial bee colony algorithm was proposed. Negative entropy was chosen as the objective function for separation and the separation matrix was transformed using Givens rotation transform method and the number of variable need to be found reduced. Artificial bee colony algorithm was used for solving the objective function and the images could be separated successfully. Simulation results verify the validity of the method.

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Siriwongkul, Chaladchai, and Pattarawit Polpinit. "Rice Kernel Separations Using Contour Analysis and Skeleton." Applied Mechanics and Materials 781 (August 2015): 515–18. http://dx.doi.org/10.4028/www.scientific.net/amm.781.515.

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Determine the percentage of broken rice kernel is crucial for rice quality evaluation. This paper studies a digital image processing method that can effectively separate touching rice kernels in an image of rice used for quality evaluation. An alternative separation algorithm based on contour analysis and skeleton is proposed to separate touching rice kernels. The proposed algorithm can be divided into three parts, namely, pre-processing, obtaining the candidates for separation line endpoints, and analysis for separation process. In the pre-processing, the images are converted into grayscale i

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Faessel, Matthieu, and Francis Courtois. "TOUCHING GRAIN KERNELS SEPARATION BY GAP-FILLING." Image Analysis & Stereology 28, no. 3 (2011): 195. http://dx.doi.org/10.5566/ias.v28.p195-203.

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Separation of touching grain kernels is a recurring problem in image analysis. Morphological methods to separatemerged objects in binary images are generally based on the watershed transformapplied to the inverse of the distance function. This method is efficient with roughly circular objects, but cannot separate objects beyond a certain elliptic shape nor when the contact zones are too numerous or too large. This paper presents a gap-filling method applied to the skeleton of the image background as an alternative technique to go further in the fused objects separation process. Open lines resu

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Yi, Renjiao, Ping Tan, and Stephen Lin. "Leveraging Multi-View Image Sets for Unsupervised Intrinsic Image Decomposition and Highlight Separation." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 07 (2020): 12685–92. http://dx.doi.org/10.1609/aaai.v34i07.6961.

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We present an unsupervised approach for factorizing object appearance into highlight, shading, and albedo layers, trained by multi-view real images. To do so, we construct a multi-view dataset by collecting numerous customer product photos online, which exhibit large illumination variations that make them suitable for training of reflectance separation and can facilitate object-level decomposition. The main contribution of our approach is a proposed image representation based on local color distributions that allows training to be insensitive to the local misalignments of multi-view images. In

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Ahirwal, Ramratan, Yogesh Singh Rajput, and Dr Yogendra Kumar Jain. "Ghost-Free High Dynamic Range Imaging Using Histogram Separation and Edge Preserving Denoising." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 12, no. 3 (2014): 3329–37. http://dx.doi.org/10.24297/ijct.v12i3.3242.

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In this paper, we introduce a ghost-free High Dynamic Range imaging algorithm for obtaining ghost-free high dynamicrange (HDR) images. The multiple image fusion based HDR method work only on condition that there is no movement ofcamera and object when capturing multiple, differently exposed low dynamic range (LDR) images. The proposed algorithmmakes three LDR images from a single input image to remove such an unrealistic condition. For this purpose a histogramseparation method is proposed in the algorithm for generating three LDR images by stretching each separated histogram.An edge-preserving

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Jia, Fei, Jindong Xu, Xiao Sun, Yongli Ma, and Mengying Ni. "Blind Image Separation Method Based on Cascade Generative Adversarial Networks." Applied Sciences 11, no. 20 (2021): 9416. http://dx.doi.org/10.3390/app11209416.

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To solve the challenge of single-channel blind image separation (BIS) caused by unknown prior knowledge during the separation process, we propose a BIS method based on cascaded generative adversarial networks (GANs). To ensure that the proposed method can perform well in different scenarios and to address the problem of an insufficient number of training samples, a synthetic network is added to the separation network. This method is composed of two GANs: a U-shaped GAN (UGAN), which is used to learn image synthesis, and a pixel-to-attention GAN (PAGAN), which is used to learn image separation.

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Li, Wei, and Suhong Song. "Digital Mask: Reflection on AI Face Changing and Disembodied Communication from the Perspective of Belting's "Image Embodiment"." Communications in Humanities Research 52, no. 1 (2025): 232–37. https://doi.org/10.54254/2753-7064/2024.19686.

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Interpersonal communication is a type of communication-based on body images. In the age of social media, the change of image media from the body to the electronic screen affects the characteristics of facial imaging and people's cognition of communication objects. With the support of digital technology, facial images have undergone a dynamic process of production, separation, and presence, forming a faceless digital mask, which provides the possibility for the separation and free combination of face and body in interpersonal communication. Based on Hans Belting's analysis of the relationship b

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Park, Younghyeon, and Byeungwoo Jeon. "An Acquisition Method for Visible and Near Infrared Images from Single CMYG Color Filter Array-Based Sensor." Sensors 20, no. 19 (2020): 5578. http://dx.doi.org/10.3390/s20195578.

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Near-infrared (NIR) images are very useful in many image processing applications, including banknote recognition, vein detection, and surveillance, to name a few. To acquire the NIR image together with visible range signals, an imaging device should be able to simultaneously capture NIR and visible range images. An implementation of such a system having separate sensors for NIR and visible light has practical shortcomings due to its size and hardware cost. To overcome this, a single sensor-based acquisition method is investigated in this paper. The proposed imaging system is equipped with a co

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ZHANG, N. "Nonlinear Blind Source Separation Method for X-Ray Image Separation." IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E89-A, no. 4 (2006): 924–31. http://dx.doi.org/10.1093/ietfec/e89-a.4.924.

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Özgen, Mehmet Tankut, Ercan Engin Kuruoğlu, and Diego Herranz. "Astrophysical image separation by blind time–frequency source separation methods." Digital Signal Processing 19, no. 2 (2009): 360–69. http://dx.doi.org/10.1016/j.dsp.2007.12.003.

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Ono, Kento, Tanjina Sharmin, Hideaki Orii, and Kenji Mishima. "Recognition of Liquid-liquid Two-phase Separation by Digital Image Processing." Journal of the Institute of Industrial Applications Engineers 10, no. 3 (2022): 60–64. http://dx.doi.org/10.12792/jiiae.10.60.

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Mubarokhh, Fahmi Wafi. "Image Classification of Organic and Inorganic Waste Using Convolutional Neural Networks." IC-ITECHS 5, no. 1 (2024): 781–83. https://doi.org/10.32664/ic-itechs.v5i1.1632.

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Indonesia will become the third largest contributor of plastic waste in the world in 2024. This is due to the suboptimal management and recycling of waste. One way to reduce the accumulation of waste in the environment is through waste separation as the first step in recycling. In the field of informatics engineering, this process can be implemented using Convolutional Neural Network (CNN), a deep learning method designed to recognize and classify objects in digital images. This study aims to develop a high-accuracy CNN model for waste type classification using the TensorFlow framework. The an

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Muyskens, Amanda L., Imène R. Goumiri, Benjamin W. Priest, et al. "Star–Galaxy Image Separation with Computationally Efficient Gaussian Process Classification." Astronomical Journal 163, no. 4 (2022): 148. http://dx.doi.org/10.3847/1538-3881/ac4e93.

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Abstract We introduce a novel method for discerning optical telescope images of stars from those of galaxies using Gaussian processes (GPs). Although applications of GPs often struggle in high-dimensional data modalities such as optical image classification, we show that a low-dimensional embedding of images into a metric space defined by the principal components of the data suffices to produce high-quality predictions from real large-scale survey data. We develop a novel method of GP classification hyperparameter training that scales approximately linearly in the number of image observations,

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Stanimirović, Ivana Žiljak, Darko Agić, and Jana Žiljak Vujić. "Hidden infrared image in a uniform CMYK separation hue." Journal of Graphic Engineering and Design 3, no. 2 (2012): 8–11. http://dx.doi.org/10.24867/jged-2012-2-008.

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Extended colour management is introduced for integrating the colorants visual characteristics in the visual, but also in the near infrared spectrum (NIR). Many conventional graphic inks are such that their light absorption in the visual (V) and NIR specter can be very well measured, and we are using this for our goal which is the following:firstly to create a double condition of graphic reproduction - invisible graphics to the human eye, but allowing to be registered by instruments measuring in the NIR area. The second goal is to design graphic elements that are not recognized in the NIR spect

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BOULILA, WADII, and IMED RIADH FARAH. "MULTI-APPROACH SATELLITE IMAGES FUSION BASED ON BLIND SOURCES SEPARATION." International Journal of Image and Graphics 11, no. 01 (2011): 117–36. http://dx.doi.org/10.1142/s0219467811004020.

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The development of satellite image acquisition tools helped improving the extraction of information about natural scenes. In the proposed approach, we try to minimize imperfections accompanying the image interpretation process and to maximize useful information extracted from these images through the use of blind source separation (BSS) and fusion methods. In order to extract maximum information from multi-sensor images, we propose to use three algorithms of BSS that are FAST- ICA2D, JADE2D, and SOBI2D. Then by employing various fusion methods such as the probability, possibility, and evidence

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Arthur, Brian W., Kurt Simons, and Kelly Elhatton. "RED/GREEN DICHOTIC IMAGE SEPARATION/REPLY." Journal of Pediatric Ophthalmology & Strabismus 32, no. 5 (1995): 340. http://dx.doi.org/10.3928/0191-3913-19950901-18.

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Maragos, Petros, and Alan C. Bovik. "Image demodulation using multidimensional energy separation." Journal of the Optical Society of America A 12, no. 9 (1995): 1867. http://dx.doi.org/10.1364/josaa.12.001867.

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Stowasser, Annette, Alexandra Rapaport, John E. Layne, Randy C. Morgan, and Elke K. Buschbeck. "Biological Bifocal Lenses with Image Separation." Current Biology 20, no. 16 (2010): 1482–86. http://dx.doi.org/10.1016/j.cub.2010.07.012.

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Shwartz, Sarit, Yoav Y. Schechner, and Michael Zibulevsky. "Blind separation of convolutive image mixtures." Neurocomputing 71, no. 10-12 (2008): 2164–79. http://dx.doi.org/10.1016/j.neucom.2007.07.042.

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Berger, Charles E. H., Jan A. Koeijer, Wendy Glas, and Henk T. Madhuizen. "Color Separation in Forensic Image Processing." Journal of Forensic Sciences 51, no. 1 (2006): 100–102. http://dx.doi.org/10.1111/j.1556-4029.2005.00020.x.

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Zokay, Mustapha, and Hicham Saylani. "Blind Separation of Skin Chromophores from Multispectral Dermatological Images." Diagnostics 14, no. 20 (2024): 2288. http://dx.doi.org/10.3390/diagnostics14202288.

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Background/Objectives: Based on Blind Source Separation and the use of multispectral imaging, the new approach we propose in this paper aims to improve the estimation of the concentrations of the main skin chromophores (melanin, oxyhemoglobin and deoxyhemoglobin), while considering shading as a fully-fledged source. Methods: In this paper, we demonstrate that the use of the Infra-Red spectral band, in addition to the traditional RGB spectral bands of dermatological images, allows us to model the image provided by each spectral band as a mixture of the concentrations of the three chromophores i

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Wang, Hong Li, Bing Xu, Xue Dong Xue, and Kan Cheng. "Application of Time-Frequency Analysis & Blind Source Separation to Diagnosis of Faults with Generator Rotor System." Applied Mechanics and Materials 556-562 (May 2014): 2748–51. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.2748.

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One method for diagnosis of faults with generator rotor is contrived by combining local wave method and blind source separation. Time-frequency image varies with local wave of different fault signals, and this feature is applied to identify different faults. In order to realize automatic classification of faults, blind source separation is employed for separation of independent components in time-frequency image of local wave of different fault signals, so as to derive projection coefficients for a set of source images. On the basis of this, automatic classification of faults is realized with

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Myers, Steven T. "1608+656: A Quadruple Lens System Found In The CLASS Gravitational Lens Survey." Symposium - International Astronomical Union 173 (1996): 317–22. http://dx.doi.org/10.1017/s0074180900231677.

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The first phase of a large gravitational lens survey using the Very Large Array at a wavelength of 3.6 cm has been completed, yielding images for 3258 radio sources. The Cosmic Lens All-Sky Survey, or CLASS, is designed to locate gravitational lens systems consisting of multiply-imaged compact components with separations > 0.″2. From this first phase has come the discovery of 1608+656, a quadruply-imaged object with maximum separation of 2.″1. Images from the Palomar 5-m and Keck 10-m telescopes show the lensed images and the lensing galaxy. An optical spectrum obtained with the Palomar 5-m

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Auns Q. H. Al-Neami and Cinan Kanaan A.R. Al Khuzaay. "Medical Images Separation and Fusion Based on Artificial Neural Network." Diyala Journal of Engineering Sciences 7, no. 3 (2014): 92–105. http://dx.doi.org/10.24237/djes.2014.07306.

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During the last few decades, the field of medical image processing has been closely related to neural network methodologies and their applications. In the present investigation a 512×512 Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) images for different region of the brain are registered to eliminate the dimensionality differences between the two images, then separated both of them by fast-fixed point algorithm after truncation of each image in to almost 1000 image patches of 15×15 dimension and transform them to 1-D and order them into row-wise fashion as well as reducing the

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Ancin, H., B. Roysam, M. H. Chestnut, T. E. Otte, D. H. Szarowski, and J. N. Turner. "Automated counting and 3-D morphometry of nuclei in thick tissue slices from laser- scanning confocal microscopy data." Proceedings, annual meeting, Electron Microscopy Society of America 52 (1994): 222–23. http://dx.doi.org/10.1017/s0424820100168840.

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This paper presents recent advances in automated three-dimensional (3-D) image analysis methods for cell counting, and quantitative measurement of various nuclear properties in thick (30-120 μm) tissue sections that are imaged by a laser-scanning confocal microscope. The technical advances reported here are: (i) improved 3-D nuclear separation methods for analyzing samples containing large numbers of nuclei per unit volume, and large connected clusters; (ii) methods for adapting the image analysis system to handle a much larger variety of specimens with greater variability in image parameters,

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Bhardwaj, Ankur, Sanmukh Kaur, Anand Prakash Shukla, and Manoj Kumar Shukla. "A Novel Method for Despeckling of Ultrasound Images Using Cellular Automata-Based Despeckling Filter." International Journal of E-Health and Medical Communications 12, no. 5 (2021): 16–35. http://dx.doi.org/10.4018/ijehmc.20210901.oa2.

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Ultrasound images have an inherent property termed as speckle noise that is the outcome of interference between incident and reflected ultrasound waves which reduce image resolution and contrast and could lead to improper diagnosis of any disease. In different approaches for reducing the speckle noise, there exists a class of filters that convert multiplicative noise into additive noise by using algorithmic functions. The current study proposes a cellular automata-based despeckling filter (CABDF) that implements a local spatial filtering framework for the restoration of the noisy image. In the

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Yao, Tianyuan, Chang Qu, Jun Long, et al. "Compound Figure Separation of Biomedical Images: Mining Large Datasets for Self-supervised Learning." Machine Learning for Biomedical Imaging 1, August 2022 (2022): 1–19. http://dx.doi.org/10.59275/j.melba.2022-5aa9.

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With the rapid development of self-supervised learning (e.g., contrastive learning), the importance of having large-scale images (even without annotations) for training a more generalizable AI model has been widely recognized in medical image analysis. However, collecting large-scale task-specific unannotated data at scale can be challenging for individual labs. Existing online resources, such as digital books, publications, and search engines, provide a new resource for obtaining large-scale images. However, published images in healthcare (e.g., radiology and pathology) consist of a considera

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Kwon, Hyuk-Ju, and Sung-Hak Lee. "Contrast Sensitivity Based Multiscale Base–Detail Separation for Enhanced HDR Imaging." Applied Sciences 10, no. 7 (2020): 2513. http://dx.doi.org/10.3390/app10072513.

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High dynamic range (HDR) imaging is used to represent scenes with a greater dynamic range of luminance on a standard dynamic range display. Usually, HDR images are synthesized through base–detail separations. The base layer is used for tone compression and the detail layer is used for detail preservation. The representative detail-preserved algorithm iCAM06 has a tendency to reduce the sharpness of dim surround images, because of the fixed edge-stopping function of the fast-bilateral filter (FBF). This paper proposes a novel base–detail separation and detail compensation technique using the co

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Mortlock, D. J., R. L. Webster, and P. C. Hewett. "Wide Separation Lenses." Symposium - International Astronomical Union 173 (1996): 71–72. http://dx.doi.org/10.1017/s0074180900230933.

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There is still debate as to whether wide separation (Δθ ≳ 3″) double quasars are physical binaries or gravitationally lensed sources. We proceed under the assumption that most of these objects are the result of lensing, and use maximum likelihood techniques (Kochanek 1993) to infer information about the mass distribution of deflectors that would be required to produce these wide image separations. Under the above assumptions, the most consistent explanation is the existence of a significant population of dark objects with the mass of groups of galaxies.

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Atmaja, Ratri Dwi, Erwin Susanto, Junartho Halomoan, and Muhammad Ary Murti. "One Layer Object Separation Algorithm in Binary Image." Indonesian Journal of Electrical Engineering and Computer Science 1, no. 1 (2016): 215. http://dx.doi.org/10.11591/ijeecs.v1.i1.pp215-220.

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We propose an algorithm to separate black object in binary image. The algorithm is designed to perform vertical separation first, then followed with horizontal separation. This process is done only once (one layer). Results showed that the algorithm potentially could be developed into n-layer separation in a recursive function. The algorithm also potentially could be developed in adaptive to determine when to use a vertical or horizontal separation first. It could be expected to reduce the recursive number.

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