Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Contamination may appear in various stages of hard disk manufacturing including the head gimbal assembly. Currently, the detection of contamination requires manual intervention. An image based automatic contamination detection strategy is therefore presented. After a preprocessing step, the contamination detection algorithm first detects potential areas of contamination using circle detection. Then, each of the contamination contenders are classified as either a contamination or noncontamination using a set of specific rules. The algorithm hasbeen tested on 1,050 head gimbal assembly images of which 313 depicted contaminations. Our preliminary results yields an accuracy of 73.8% with a false negative rate of 34.8% anda false positive rate of 23.6%. Future work includes finetuning the contamination classification rules.
['Jirarat Ieamsaard', 'Paisarn Muneesawang', 'Frode Eika Sandnes']
I am writing a research paper on a idea Image Based Contamination Detection on Hard Disk Head Gimbal Assembly
[{"from": "human", "value": "I am writing a research paper on a idea Image Based Contamination Detection on Hard Disk Head Gimbal Assembly"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Contamination may appear in various stages of hard disk manufacturing including the head gimbal assembly. Currently, the detection of contamination requires manual intervention. An image based automatic contamination detection strategy is therefore presented. After a preprocessing step, the contamination detection algorithm first detects potential areas of contamination using circle detection. Then, each of the contamination contenders are classified as either a contamination or noncontamination using a set of specific rules. The algorithm hasbeen tested on 1,050 head gimbal assembly images of which 313 depicted contaminations. Our preliminary results yields an accuracy of 73.8% with a false negative rate of 34.8% anda false positive rate of 23.6%. Future work includes finetuning the contamination classification rules."}]