2D orthogonal lattice filter based image segmentation

AYKUT S., GURCAN R., Erer I.

IEEE International Geoscience and Remote Sensing Symposium, Alaska, Amerika Birleşik Devletleri, 20 - 24 Eylül 2004, ss.3814-3817 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Basıldığı Şehir: Alaska
  • Basıldığı Ülke: Amerika Birleşik Devletleri
  • Sayfa Sayıları: ss.3814-3817
  • İstanbul Teknik Üniversitesi Adresli: Evet

Özet

The purpose of image segmentation is to partition an image into homogeneous regions. Features are of major importance in image segmentation. In this work, a new method is proposed in which features used for segmentation are reflection coefficients of the two-dimensional(2-D) orthogonal lattice filters. Principal Component Analysis (PCA) is applied to the features for reducing the complexity of the work. A minimum distance classifier is used in the classification algorithms. The proposed method is compared with the discrete wavelet transform which is a common segmentation algorithm. In our work, selected image is a monospectral optical image.