Image Segmentation Algorithm Named FSICM Based on Spatial Information by ZHU Suxia, ZU Hongliang, SUN Guanglu

“…In this paper, we present a fuzzy spatial information cmeans clustering (FSICM) algorithm for image segmentation by introducing spatial information, in order to overcome the defects of being sensitive to noises and outliers in image brought by Fuzzy cmeans clustering (FCM) algorithm The algorithm effectively utilizes the spatial information of the image and the gray information of the image to be segmented, and improves the segmentation accuracy of the noisy image Firstly, the spatial function is introduced into the membership function to change the membership weight of each pixel so as to suppress the noise Then, the neighborhood information of pixels in the image is taken into account, each pixel is processed to form a linear weighted image, and the gray histogram of the newly formed image is clustered Experimental results of both synthetic and real images show that the segmentation accuracy of FSICM algorithm for noise image is above 99% Compared with other algorithms, the algorithm proposed in this paper can remove noise while maintaining important details of the image and is robust to noise images…”
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Gray Extreme Weighted Sum Image Ringing Evaluation Algorithm by KE Ming, ZHANG Tian-ming, QIN Ai-jing, WANG Bo, BAI Xu

“…In the process of image blind restoration, the estimation of the fuzzy kernel usually produces errors which lead to image ringing The existing algorithm cannot effectively evaluate the severity of ringing To solve this problem, a method for evaluating the ringing effect is proposed From the physical mechanism of image ringing effect caused by blind restoration of image, the causes of the ringing effect caused by blind restoration of images and the influence on image quality are analyzed By extracting the overshoot and ripple regions of the ringing image and weighting the gradient values of the region, the severity of the ringing effect is quantified The experimental results show that when the fuzzy kernel parameter value exceeds 3, the algorithm shows a monotonically increasing state with increasing parameters,The change in SSIM evaluation results tends to be zero This algorithm can effectively evaluate different restoration algorithms and different restoration parameters Restore the ringing effect in the image under different restoration parameters…”
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Medical Image Classification Using Different Machine Learning Algorithms by Sami Ismael, Shahab Kareem, Firas Almukhtar

“…Extracting the shapes and textures from scanned image are performed in the third step. Finally, different machine learning algorithms such as (K* classifier, Additive Regression, Bagging, Input Mapped Classifier, or Decision Table) is separately applied to the extracted (shapes and textures) to obtain the results. …”
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Use the Genetic Algorithm to Encode and Hide Gray Image Data by Raya Essa, Reham Essa, Inam Sulaiman

“…So, it become famous to  use the system of coverage in which the sent the information being  invisible to anyone, through hiding it inside the sent media, such as audio, image, text, and video.  This paper aims to apply the idea to hide image message, using the least significant bit  algorithm inside an image and encrypt it in a new way for encryption using a genetic algorithm. …”
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Image Classification of Multimedia Platforms With Texture Algorithms and Neural Networks by Mauricio Sauzameda-Gonzalez, Josue Alvarez-Borrego, Esperanza Guerra-Rosas

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A Novel Coverage Enhancement Algorithm for Image Sensor Networks by Haiping Huang, Lijuan Sun, Ruchuan Wang, Jing Li

“…This approach utilizes fuzzy image recognition method to process the boundary nodes. …”
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An Improved Northern Goshawk Optimization Algorithm for Mural Image Segmentation by Jianfeng Wang, Zuowen Bao, Hao Dong

“…In the process of mural protection and restoration, using optimization algorithms for image segmentation is a common method for restoring mural details. …”
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An Innovative Image Encryption Algorithm Based on the DNAS_box and Hyperchaos by Da Qiu, Tingting Zhang, Jingyi Liu, Song Liu, Peiyu He

“…This study proposes an innovative image encryption algorithm based on the DNAS_box and hyperchaos. …”
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A DNA Encoding Image Encryption Algorithm Based on Chaos by Li Huang, Cong Ding, Zhenjie Bao, Haitao Chen, Changsheng Wan

“…To improve the security of image encryption and transmission, a new image encryption algorithm based on bit-plane decomposition, DNA encoding and the 5D Hamiltonian conservative chaotic system is proposed. …”
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A Real-Time High-Resolution Multi-Focus Image Fusion Algorithm Based on Multi-Scale Feature Aggregation by Huawei Chen, Xingkai Du, Hongchuan Huang, Tingyu Zhao

“…However, traditional multi-focus image fusion algorithms have high computational complexity, making it difficult to achieve real-time processing on embedded devices. …”
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A Near-Real-Time Imaging Algorithm for Focusing Spaceborne SAR Data in Multiple Modes Based on an Embedded GPU by Yunju Zhang, Mingyang Shang, Yini Lv, Xiaolan Qiu

“…To achieve on-board real-time processing for sliding-spotlight mode synthetic aperture radar (SAR), on the one hand, this paper proposes an adaptive and efficient imaging algorithm for the sliding-spotlight mode. …”
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A novel digital radiography image fusion enhancement algorithm based on NSST by Guangwen Wang, Kuan Shen, Dingmei Jing, Wang Liao, Zichao Li

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Retinal Vessel Segmentation Using Math-Inspired Metaheuristic Algorithms by Mehmet Bahadır Çetinkaya, Sevim Adige

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Privacy-Oriented Successive Approximation Image Position Follower Processing by Ying Miao, Danyang Shao, Zhimin Yan

“…In this paper, we analyze the location-following processing of the image by successive approximation with the need for directed privacy. …”
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A modality separation approach for facial sketch synthesis by Kangning Du, Chaoyi Wang, Lin Cao, Yanan Guo, Wenwen Sun

“…Next, an edge‐promoting module feeds processed blurry sketch images into the discriminator to enhance robustness. …”
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Classification of Some Fruits using Image Processing and Machine Learning by Dilara Gerdan Koç, Mustafa Vatandaş

“…In this study, an image processing algorithm and classification unit were developed to classify the fruits according to their size and color characteristics. …”
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Bayesian Inference for Post-Processing of Remote-Sensing Image Classification by Gilberto Camara, Renato Assunção, Alexandre Carvalho, Rolf Simoes, Felipe Souza, Felipe Carlos, Anielli Souza, Ana Rorato, Ana Paula Dal’Asta

“…This paper proposes a new post-processing algorithm based on an empirical Bayes approach. …”
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IMAGE SEGMENTATION AND OBJECT SELECTION BASED ON MULTI-THRESHOLD PROCESSING by Vladimir Yu. Volkov, Oleg A. Markelov, Mikhail I. Bogachev

“…Although this is achieved at the cost of the resource-consuming multi-threshold analysis procedure for each processed image, this can be also partially compensated by the simplicity of the algorithm and its possible parallel implementation.…”
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Synthesis of a Generalized Algorithm for Processing and Generating Data on Reflected Signals from Complex Targets by Xung Ha Vo, Trung Kien Nguyen, Phung Bao Nguyen, Quang Hieu Dang

“…To investigate reasons for the formation of complex targets and, using the theory of radar image processing, to synthesize an algorithm for processing and generating data on reflected signals from a complex target.Materials and methods. …”
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dpVision: Environment for multimodal images by Dariusz Pojda, Mateusz Żarski, Agnieszka Anna Tomaka, Leszek Luchowski

“…The dpVision (data processing for vision) software framework offers a flexible, open source platform for implementing and testing various data and image processing algorithms. …”
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