Abstract
In the findings of the statue of Ganesha in Trowulan Mojokerto area is no longer intact, because the statue of Ganesha is found to have been on the surface of soil or underground, so the archaeologist is very difficult to categorize the findings. This research proposes to overcome the above problems it is necessary to the Image Retrieval system (image retrieval) that can provide information about the results of the discovery of such historic objects. For the image taken as Image Retrieval as an example of research trials is the Ganesha Arca. From the Ganesha Statue is searched for feature extraction value by using Moment Invariant method, after which to get the result of image retrieval using Manhattan method. Image Retrieval information system work is image of Ganesa Arca in pre-processing with size 200x260 pixel BMP, then image in edge detection using Roberts method and extraction of Moment Invariant feature and inserted into database as data traning. For data testing the same process with data traning so searched the closest distance using Manhattan method. From the results of 15 image testing statues Ganesha level to the accuracy of the true states there is 62% and stated wrong 38%. Research can be further developed using various methods to improve image retrieval accuracy
Highlights
In the Trowulan area is one of the largest historical heritage of Majapahit kingdom in the archipelago
The statue that is often found is the statue of Ganesha because the Majapahit kingdom is a Hindu Shiva
The principle of image retrieval is the feature extraction of a number of objects have been stored in the database, when an image is used as a query [3]
Summary
In the Trowulan area is one of the largest historical heritage of Majapahit kingdom in the archipelago. In the data intercession training image input is done by the process of preparing the image size in the form of pixel units and black image background to make it easy to distinguish the background and image foreground The process is done image grayscale process to Roberts edge detection, after obtaining the image of the edge of the statue Ganesha performed form feature extraction process using the Moment Invariant method to get the extraction features of the form values entered into the database. The testing process for preprocessing, edge detection and extraction features are the same way as the testing process, but next to Image Retrieval is a process of calculating the distance between data training in the database with data testing using Manhattan method to get the. The results on Roberts edge detection are strongly affected by noise, providing weak responses to the edge
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