Performance Analysis on Edge Detection Algorithms for Coastline Image Detection

Author(s):  
Neda Abolhassani ◽  
Haklin Kimm
2013 ◽  
Vol 344 ◽  
pp. 226-229
Author(s):  
Peng Fei Meng ◽  
Wen Dong Wang ◽  
Kong Qiao Wang

Multimedia has been widely used on the mobile platform. Due to its mobility and instability,the mobile terminal inevitably produces some blurred pictures (especially when shooting human faces). Hence, if these blurred and normal images are well classified and separated, it will be significant to improve the browsing efficiency. This paper focuses onresearch of two popular blur detection algorithms, DCT (Discrete Cosine Transform) and edge detection algorithm. It also offers the implementation of the blurred face image detection and classification system based on these two algorithms. At last it contrasts these two algorithms and draws a conclusion.


2021 ◽  
Vol 11 (11) ◽  
pp. 5288
Author(s):  
Manuel Henriques ◽  
Duarte Valério ◽  
Rui Melicio

Nowadays, satellite images are used in many applications, and their automatic processing is vital. Conventional integer grey-scale edge detection algorithms are often used for this. This study shows that the use of color-based, fractional order edge detection may enhance the results obtained using conventional techniques in satellite images. It also shows that it is possible to find a fixed set of parameters, allowing automatic detection while maintaining high performance.


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