The main goal of the proposed system is to provide an accurate result with lower computational time and to match image’s descriptors.The image segmentation depends on the content images in the database because the image can contain different objects. Database of images has been taken for experimentation. All the images are retrieved from the database on the basis of the RGB of the three different components of red, green, blue. We have taken an image out of the databases to prove the efficiency of our method and finally, our system can successfully retrieve the similar images.
Query Image (Tested input image)
Segmented image and Retrived image
#Segmentation, #Image, #Photogrammetric, #Minimization, #Smoothness, #Merging, #Transform, #Depth, #Random, #Satellite, #Procedure, #Optimization, #Energy, #Clustering, #Lightness, #Demonstrated, #Clusters, #Network, #Neural, #Medical, #Automated, #Parameters, #Accuracy, #Efficiency, #Independent, #Intensity, #Inhomogeneity, # Diagnosis, #Content, #Surgery
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