Detecting subtitle regions in multimedia images using image processing techniques

Yıl 2023, , 1 - 15, 31.12.2023

Erdal Güvenoğlu

https://doi.org/10.55198/artibilimfen.1385122

Öz

With the widespread use of mobile devices and multimedia technologies, the acquisition of images has become much easier. However, obtaining the subtitles in the images and using them for different purposes have emerged as a problem. In this study, a simple and effective process is proposed for detecting the regions where subtitles are present in multimedia images. The process consists of different successive steps. The coordinates of the subtitle region, which is the text, are determined with the help of image processing techniques on a 24-bit colour image given as an input image. Then, it is marked on the colour image. Experimental studies were carried out on images with different features and sizes. Harris corner detection algorithm was used to mark the corner points, Gaussian filtering and morphological image processing techniques were used to remove noise. A success rate of 94% was achieved in the studies performed. In time measurement tests, a good performance time of 1.56 seconds was achieved on average. The time measurements were compared with other studies in the literature. It has been observed that the proposed process has an excellent performance in terms of time.

Anahtar Kelimeler

Subtitle detection, Image processing, Edge detection, Corner detection, Morphological image processing.

Görüntü işleme teknikleri kullanılarak multimedya görüntülerinde alt yazı bölgelerinin tespit edilmesi

Öz

Mobil cihazların ve multimedya teknolojilerinin yaygın olarak kullanımı ile birlikte görüntülerin elde edilmesi çok daha kolay hale gelmiştir. Bununla birlikte görüntüler içerisinde yer alan alt yazıların elde edilmesi ve bunların farklı amaçlar için kullanımı bir problem olarak ortaya çıkmıştır. Bu çalışmada multimedya görüntülerinde yer alan altyazıların bulunduğu bölgelerin tespit edilmesi için kullanımı basit ve etkili bir yöntem önerilmiştir. Yöntem birbirini takip eden farklı adımlardan oluşmaktadır. Giriş görüntüsü olarak verilen 24 bit renkli bir görüntüler üzerinde görüntü işleme teknikleri yardımıyla metin olan alt yazı bölgesine ait koordinatlar belirlenmektedir. Ardından renkli görüntü üzerinde işaretlenmektedir. Birbirinden farklı özellik ve ölçülerde görüntüler üzerinde deneysel çalışmalar gerçekleştirilmiştir. Çalışmanın gerçekleştirilmesinde köşe noktaların işaretlenmesi amacıyla Harris köşe saptama algoritması, gürültülerin giderilmesi için gauss filtreleme ve morfolojik görüntü işleme teknikleri kullanılmıştır. Gerçekleştirilen çalışmalarda %94 oranında bir başarım elde edilmiştir. Süre ölçüm testlerinde ise ortalama olarak 1.56 sn gibi iyi bir başarım süresine ulaşılmıştır. Süre ölçümleri literatürdeki diğer çalışmalar ile karşılaştırılmıştır. Önerilen yöntemin, süre bakımından oldukça iyi bir performansa sahip olduğu görülmüştür.

Anahtar Kelimeler

Altyazı tespiti, Görüntü işleme, Kenar belirleme, Köşe saptama, Morfolojik görüntü işleme.

Kaynakça

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