Corner detection using slit rotational edge-feature detector

Yasutaka Etou, Takahiro Sugiyama, Keiichi Abe, Toru Abe

研究成果: Paper査読

6 被引用数 (Scopus)


Corners in images include useful information and they play an important role in computer vision. However, stable and accurate corner detection is very difficult, because the edges composing a corner break easily around the corner. To overcome this difficulty, a corner detection method using slit rotational edge-feature detector (SRED) has been proposed. By evaluating the edge certainties at each pixel in all directions, this method can detect corners stably. Nevertheless, this method cannot detect the corners in the region of low contrast, and its detection accuracy depends on the edge directions. To solve these problems, we propose a new corner detection method using weighted and interpolated SRED (WI-SRED). By using the edge certainties based on the region separability, the proposed method achieves stable corner detection in the region of low contrast, and moreover, by interpolating and weighting pixels, this method prevents the detection accuracy from depending on the edge directions.

出版ステータスPublished - 2002 1 1
イベントInternational Conference on Image Processing (ICIP'02) - Rochester, NY, United States
継続期間: 2002 9 222002 9 25


OtherInternational Conference on Image Processing (ICIP'02)
国/地域United States
CityRochester, NY

ASJC Scopus subject areas

  • ハードウェアとアーキテクチャ
  • コンピュータ ビジョンおよびパターン認識
  • 電子工学および電気工学


「Corner detection using slit rotational edge-feature detector」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。