Vol. 12/ No. 47/Spring 2023 Research Artcle High-Scale Image Clustering with Semantc Cues Modeling and Spatal Simulaton Mahdi Jalali, Associate Professor 1* Abstract In recent years, image annotaton is one of the actve research topics This paper suggests a semi-supervised cooperatve clustering method for annotatng images. In order to achieve the highest efciency, the clustering results of six systems with diferent color space and similarity criteria are cooperatvely combined with the majority vote. When the number of votes for an image is low, relevant feedback is used to annotate it. Nowadays, the linear similarity criterion is mostly used to determine the similarity between images, but the nonlinear models can have much beter performance due to their proximity to the human vision system, for this purpose, the KMRBF nonlinear similarity criterion is used to simulate vision. Humans and improvement of recovery results are suggested. Experiments on the Corel image database and satellite images show that the proposed method has good performance. According to the results obtained in the satellite image database, the YIQ color space has a higher accuracy (82.5%). Also, the three color spaces CIELab, HSV and YIQ have higher efciency, because in these color spaces, luminance is separated from chrominance and these color spaces are closer to the human vision system. Keywords: Similarity Measure, Texture, Image Retrieval System, Clustering, Feature Extracton. Highlights • Combining system classifcaton results with diferent color space and similarity criteria with multple features. • keeping the image vector modes constant while sampling at the greatest distance from the center of gravity. • Extracton of Multple Hybrid Features with spatal modeling. Citation: M. Jalali, “High-Scale Image Clustering with Semantic Cues Modeling and Spatial Simulation,” Journal of Southern Communication Engineerng, vol. 12, no. 47, pp. 61–70, 2023, doi: 10.30495/jce.2022.1968473.1173, (in Persian) JOURNAL OF SOUTHERN COMMUNICATION ENGINEERING ISLAMIC AZAD UNIVERSITY BUSHEHR BRANCH 1 Department of Electrical Engineering, Naghadeh Branch, Islamic Azad University, Naghadeh, Iran. Microwave and Antenna Research Center, Urmia Branch, Islamic Azad University, Urmia, Iran, mahdi.jalali@iau.ac.ir Correspondence Mahdi Jalali, Associate Professor of Department of Electrical Engineering, Naghadeh Branch, Islamic Azad University, Naghadeh, Iran. Microwave and Antenna Research Center, Urmia Branch, Islamic Azad University, Urmia, Iran, mahdi.jalali@iau.ac.ir Received: 28 September 2022 Revised: 5 November 2022 Accepted: 20 November 2022 E-ISSN: 2980-9231 htps://jce.bushehr.iau.ir htps://doi.org/10.30495/jce.2022.1968473.1173