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Color Image Segmentation Using Pulse-Coupled Neural Network for Locusts Detection

11 years 1 months ago
Color Image Segmentation Using Pulse-Coupled Neural Network for Locusts Detection
- Pulse-coupled neural network (PCNN) is different from traditional artificial neural networks, which can be applied in many fields, such as image processing. A crucial step in developing automated locust detection system is image segmentation, which aims to identify locusts from images. In this study, a simplified PCNN algorithm was proposed for this purpose. Color images are either converted to gray-scale images or to the hue, saturation, intensity (HSI) color space before being segmented by the PCNN algorithm. To measure the quality of segmentation, the area recognition rate (ARR) criterion was computed. The ARR achieved 94 percent on the locust image1 .
Xuemei Xiong, Yiming Wang, Xiaochao Zhang
Added 30 Oct 2010
Updated 30 Oct 2010
Type Conference
Year 2006
Where DMIN
Authors Xuemei Xiong, Yiming Wang, Xiaochao Zhang
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