Application of content based image retrieval in digital image search system

Abstract

Multimedia data is growing rapidly in the current digital era, one of which is digital image data. The increasing need for a large number of digital image datasets makes the constraints faced eventually drain a lot of time and cause the process of image description to be inconsistent. Therefore, a method is needed in processing the data, especially in searching digital image data in large image dataset to find image data that are relevant to the query image. One of the proposed methods for searching information based on image content is content based image retrieval (CBIR). The main advantage of the CBIR method is automatic retrieval process, compared to traditional keyword. This research was conducted on a combination of the HSV color histogram methods and the discrete wavelet transform to extract color features and textures features, while the chi-square distance technique was used to compare the test images with images into a database. The results have showed that the digital image search system with color and texture features have a precision value of 37.5% - 100%, with an average precision value of 80.71%, while the percentage accuracy is 93.7% - 100% with an average accuracy is 98.03%.

Integrated NIR-HE based SPOT-5 image enhancement method for features preservation and edge detection

“…Therefore, the NIR channel was used to refine the image's contrast. The HE method enhances the image by distributing the image brightness levels equally across the brightness scale [1], [11], [15], [21], [44], [53], [54], [72], [94], [119], [136], [140], [145], [150], [159], [168], [169], [172], [175]. Furthermore, the intensity of the contrast enhancement method is measured through the root mean square (RMS), where the higher the RMS value, the better the contrast image [22], [35], [48], [178]- [181].…”

“…Shoreline delineation is difficult, time-consuming, and sometimes impossible for the entire coastal system when using traditional ground surveying techniques [1]- [5]. Consequently, in satellite images, there is a need to overcome the difficulties in the extraction of shorelines [3]- [21]. Many computational methods are yet to be improved, and comprehensive methodologies are needed to be developed to extract the complex properties of multi-features in satellite images [2], [6], [22]- [34].…”

Penerapan Metode Wavelet Daubechies Dan Diagram Nohis-Tree Untuk Klasifikasi Content Based Image Retrieval Batik

“…Selain itu, penelitian yang menggunakan metode Wavelet Thresholding untuk menguji nilai tukar rupiah tahun 2021 dengan hasil MSE terendah pada parameter surethresholding dan wavelet coiflet filter pada level 2 dapat menggunakan teknik ini untuk analisis data time series [10], [11].…”